| 參考文獻 |
Abinanti, L. (1996), “Put OLAP to work in your data warehouse”, Management Accounting, 78(4), 54-55.
Aczel, J. and Saaty, T. (1983), “Procedure for synthesizing ratio judgments”, Journal of Mathematical Psychology, 27(1), 93-102.
Adebanjo, D. (2003), “Classifying and selecting e-CRM applications: an analysis-based proposal”, Management Decision, 41(6), 570-577.
Ahire, S.L. and Golhar, D.Y. (1996), “Quality management in large vs. small firms”, Journal of Small Business Management, 34(2), 1-13.
Ahmad, I., Azhar, S. and Lukauskis, P. (2004), “Development of a decision support system using data warehousing to assist builders/developers in site selection”, Automation in Construction, 13(4), 525-542.
Aiguo, L. (2003), “Calis: acquiring electronic resources”, Library Collections, Acquisition, & Technical Services, 27, 261-267.
Akinde, M.O., Böhlen M.H., Johnson, T., Lakshmanan L.V.S. and Srivastava, D. (2003), “Efficient OLAP query processing in distributed data warehouses”, Information Systems, 28(1-2), 111-135.
Amer-Yahia, S. and Cluetm, S. (2004), “A declarative approach to optimize bulk loading into databases”, ACM Transactions on Database Systems, 29(2), 233-281.
Ang, J. and Teo, T.S.H. (2000), “Management issues in data warehousing: insights from the housing and development board”, Decision Support Systems, 29(1), 11-20.
Armstrong, R. (2001), “Seven steps to optimizing data warehouse performance”, IEEE Computer, 34(12), 76-79.
Attewell, P. (1992), “Technology diffusion and organizational learning: the case of business computing”, Organizational Science, 3(1), 1-19.
Azzone, G. and Rangone, A. (1996), “Measuring manufacturing competence: a fuzzy approach”, International Journal of Production Research, 34(9), 2517-2532.
Baker, S. and Baker, K. (1999b), “Data warehousing solutions”, The Journal of Business Strategy, 20(2), 38-39.
Baker, S. and Baker, K. (1999a), “The best little warehouse in business”, The Journal of Business Strategy, 20(2), 32-37.
Ballantine, J., Levy, M. and Powell, P. (1998), “Evaluating information systems in small and medium-sized enterprises: issues and evidence”, European Journal of Information Systems, 7(4), 241-251.
Ballou, D.P. and Tayi, G.K. (1999), “Enhancing data quality in data warehouse environments”, Communications of the ACM, 42(1), 73-78.
Bar-Ilan, J., Peritz, B.C. and Wolman, Y. (2003), “A survey on the use of electronic databases and electronic journals accessed through the web by the academic staff of Israeli universities”, The Journal of Academic Librarianship, 29(6), 346-361.
Bassiliades, N., Vlahavas, I., Elmagarmid, A.K. and Houstis, E.N. (2003), “Interbase-KB: integrating a knowledge base system with a multidatabase system for data warehousing”, IEEE Transactions on Knowledge and Data Engineering, 15(5), 1188-1205.
Beck, M.P. and Lin, B.W. (1981), “Selection of automated office systems: a case study”, OMEGA, 9(2), 169-176.
Bellahsene, Z. (2002), “Schema Evolution in Data Warehouses”, Knowledge and Information Systems, 4(3), 283-304.
Bellahsene, Z. (2004), “View adaptation in the fragment-based approach”, IEEE Transactions on Knowledge and Data Engineering, 16(11), 1441-1455.
Benander, A. and Benander, B. (2000), “Data warehouse administration and management”, Information Systems Management, 17(1), 71-80.
Bernardino, J.R., Furtado, P.S. and Madeira, H.C. (2002), “Approximate query answering using data warehouse striping”, Journal of Intelligent Information Systems, 19(2), 145-167.
Berndt, D.J., Hevner, A.R. and Studnicki, J. (2003), “The Catch data warehouse: support for community health care decision-making”, Decision Support Systems, 35(3), 367-384.
Berndt, D.J., Fisher, J.W., Hevner, A.R. and Studnicki, J. (2001), “Healthcare data warehousing and quality assurance”, IEEE Computer, 34(12), 56 -65.
Bevilacqua, M. and Braglia, M. (2000), “The analytic hierarchy process applied to maintenance strategy selection”, Reliability Engineering and System Safety, 70, 71–83.
Bharadwaj, A.S. (2000), “A resource-based perspective on information technology capability and firm performance: an empirical investigation”, MIS Quarterly, 24(1), 169-196.
Bhowmick, S.S., Madria, S. and Keong, N.W. (2002), “What can a web bag discover for you?”, Data & Knowledge Engineering, 43(1), 79-119.
Bhowmick, S.S., Madria, S., Ng, W.K. and Lim, E. (2000), “Data visualization operators for WHOWEDA”, The Computer Journal, 43(5), 364-385.
Bhowmick, S.S., Kiong, A.K. and Madria, S. (2003a), “Formulating disjunctive coupling queries in a web house”, Data & Knowledge Engineering, 46(1), 1-40.
Bhowmick, S.S., Keong W. N. and Madria, S. (2003b), “Constraint-driven join processing in a web warehouse”, Data & Knowledge Engineering, 45(1), 33-78.
Bhowmick, S.S., Madria, S. and Ng, W.K. (2003c), “Representation of web data in a web warehouse”, The Computer Journal, 46(3), 229-262.
Bhowmick, S.S., Madria, S.K. and Wee, K.N. (2003d), “Detecting and representing relevant web deltas in WHOWEDA”, IEEE Transactions on Knowledge and Data Engineering, 15(2), 423-441.
Bhutta, K.S. and Huq, F. (2002), “Supplier selection problem: a comparison of the total cost of ownership and analytic hierarchy process approaches”, Supply Chain Management, 7(3/4), 126-135.
Biskup, J. and Embley, D.W. (2003), “Extracting information from heterogeneous information sources using ontologically specified target views”, Information Systems, 28(3), 169-212.
Blili, S. and Raymond, L. (1993), “Information technology: threats and opportunities for small and medium-sized enterprises”, International Journal of Information Management, 13(6), 439-448.
Boloix, G. and Robillard, P.N. (1995), “A software system evaluation framework”, IEEE Computer, 28(12), 17-26.
Bonchi, F., Giannotti, F., Gozzi, C., Manco, G., Nanni, M., Pedreschi, D., Renso, C. and Ruggieri, S. (2001), “Web log data warehousing and mining for intelligent web caching”, Data & Knowledge Engineering, 39(2), 165-189.
Bonifati, A., Cattaneo, F., Ceri, S., Fuggetta, A. and Paraboschi, S. (2001), “Designing data marts for data warehouses”, ACM Transactions on Software Engineering and Methodology, 10(4), 452-483.
Bontempo, C. and Zagelow, G. (1998), “The IBM data warehouse architecture”, Communications of the ACM, 41(9), 38-48.
Bortolan, G. and Degani, R. (1985), “A review of some methods for ranking fuzzy subsets”, Fuzzy Sets and Systems, 15, 1-19.
Brown, L.A. and Forsyth, J.H. (1999), “The evolving approval plan: how academic librarians evaluate services for vendor selection and performance”, Library Collections, Acquisitions, & Technical Services, 23(3), 231–277.
Bruckner, R.M. and Tjoa, A.M. (2002), “Capturing delays and valid times in data warehouses - towards timely consistent analyses”, Journal of Intelligent Information Systems, 19(2), 169-190.
Buckley, J.J. (1984), “The multiple judge, multiple ranking problem: a fuzzy set approach”, Fuzzy Sets and Systems, 13, 25-37.
Buckley, J.J. and Chanas, S. (1989), “A fast method of ranking alternative using fuzzy numbers”, Fuzzy Sets and Systems, 30, 337-338.
Buhalis, D. (2004), “eAirlines: strategic and tactical use of ICTs in the airline industry”, Information & Management, 41(7), 805-825.
Butler, J. (1999), “Risk management skill needed in a packaged software environment”, Information Systems Management, 16(3), 15-20.
Cabibbo, L. and Torlone, R. (2001), “An architecture for data warehousing supporting data independence and interoperability”, International Journal of Cooperative Information Systems, 10(3), 377-397.
Caldeira, M.M. and Ward, J.M. (2003), “Using resource-based theory to interpret the successful adoption and use of information systems and technology in manufacturing small and medium-sized enterprises”, European Journal of Information Systems, 12(2), 127-141.
Calvanese, D., de Giacomo, G., Lenzerini, M., Nardi, D. and Rosati, R. (2001), “Data integration in data warehousing”, International Journal of Cooperative Information Systems, 10(3), 237-271.
Calvanese, D., Dragone, L., Nardi, D., Rosati, R. and Trisolini, S.M. (2006), “Enterprise Modeling and Data Warehousing in Telecom Italia”, Information Systems, 31(1), 1-32.
Cao, Y., Lim, E. and Ng, W. (2003), “Data model for warehousing historical Web information”, Information and Software Technology, 45(6), 315-334.
Carney, D.J. and Wallnau, K.C. (1998), “A basis for evaluation of commercial software”, Information and Software Technology, 40(14), 851-860.
Castelluccio, M. (1996), “Data warehouses, marts, metadata, OLAP/ROLAP, and data mining - a glossary”, Management Accounting, 78(4), 59-61.
Centioli, C., Bracco, G., Eccher, S., Iannone, F., Maslennikov, A., Panella, M. and Vitale, V. (2004), ”Commodity hardware and open source solutions in FTU data management”, Fusion Engineering and Design, 71(1-4), 195-200.
Chakrabarti, K., Garofalakis, M., Rastogi, R. and Shim, K. (2001), “Approximate query processing using wavelets”, The VLDB Journal, 10(2-3), 199-223.
Chang, P.L. and Chen, Y.C. (1994), “A fuzzy multi-criteria decision making method for technology transfer strategy selection in biotechnology”, Fuzzy Sets and Systems, 63, 131-139.
Chang, J. and Lee, S. (1999), “Extended conditions for answering an aggregate query using materialized views”, Information Processing Letters, 72(5-6), 205-212.
Chao, C. (2004), “Incremental maintenance of object-oriented data warehouses”, Information Sciences, 160(1-4), 91-110.
Chasin, K. (1994), “Designing data warehouses using CASE technology”, Journal of Systems Management, 45(5), 12-15.
Chatziantoniou, D. and Johnson, T. (2005), “Decision support queries on a tape-resident data warehouse”, Information Systems, 30(2), 133-149.
Chau, P.Y.K. (1995), “Factors used in the selection of packaged software in small businesses: views of owners and managers”, Information & Management, 29(2), 71–78.
Chau,K.W., Cao, Y., Anson, M. and Zhang, J. (2003), “Application of data warehouse and decision support system in construction management”, Automation in Construction, 12(2), 213-224.
Chaudhuri, S. and Dayal, U. (1997), “An overview of data warehousing and OLAP technology”, SIGMOD Record, 26(1), 65-74.
Chaudhuri, S., Dayal, U. and Ganti, V. (2001), “Database technology for decision support systems”, IEEE Computer, 34(12), 48-55.
Chen, S.H. (1985), “Ranking fuzzy numbers with maximizing set and minimizing set”, Fuzzy Sets and Systems, 17, 113-129.
Chen, S.M. (1996), “Evaluating weapon systems using fuzzy arithmetic operations”, Fuzzy Sets and Systems, 77(3), 265-276.
Chen, C.T. (2001), “A fuzzy approach to select the location of the distribution center”, Fuzzy Sets and Systems, 118, 65-73.
Chen, C.J. and Huang, C.C. (2004), “A multiple criteria evaluation of high-tech industries for the science-based industrial park in Taiwan”, Information & Management, 41(7), 839–851.
Chen, S.J. and Hwang, C.L. (1992), Fuzzy multiple attribute decision making: methods and applications. Springer-Verlag, Berlin, Germany.
Chen, S., Liu, B. and Rundensteiner, E.A. (2004), “Multiversion-based view maintenance over distributed data sources”, ACM Transactions on Database Systems, 29(4), 675-709.
Chen, L., Soliman, K.S., Mao, E. and Frolick, M.N. (2000), “Measuring user satisfaction with data warehouses: an exploratory study”, Information & Management, 37(3), 103-110.
Cheng, C.H. and Lin, Y. (2002), “Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation”, European Journal of Operational Research, 142(1), 174-186.
Chenoweth, T., Schuff, D. and Louis, R.S. (2003), “A method for developing dimensional data marts”, Communications of the ACM, 46(12), 93-98.
Cheung, D.W., Zhou, B., Kao, B., Kan, H. and Lee, S.D. (2001), “Towards the building of a dense-region-based OLAP system”, Data & Knowledge Engineering, 36(1), 1-27.
Chirkova, R., Halevy, A.Y. and Suciu, D. (2002), “A formal perspective on the view selection problem”, The VLDB Journal, 11(3), 216-237.
Chow, H.K.H., Choy, K.L., Lee, W.B. and Chan, F.T.S. (2005), “Design of a knowledge-based logistics strategy system”, Expert Systems with Applications, 29(2), 272-290.
Chun, S., Chung, C. and Lee, S. (2004), “Space-efficient cubes for OLAP range-sum queries”, Decision Support Systems, 37(1), 83-102.
Ciaccia, P., Golfarelli, M. and Rizzi, S. (2003), “Bounding the cardinality of aggregate views through domain-derived constraints”, Data & Knowledge Engineering, 45(2), 131-153.
Claudio, C. (1998), “Health care management”, Communications of the ACM, 41(9), 58-59.
Claussen, J., Kemper, A., Kossmann, D. and Wiesner, C. (2000), “Exploiting early sorting and early partitioning for decision support query processing”, The VLDB Journal, 9(3), 190-213.
Clemen, T. R. and Reilly T. (2001), Making hard decisions with decisiontools. Duxbury, Pacific Groce, CA.
Cochinwala, M., Kurien, V., Lalk, G. and Shasha, D. (2001), “Efficient data reconciliation”, Information Sciences, 137(1-4), 1-15.
Cochran, J.K. and Chen, H. (2005), “Fuzzy multi-criteria selection of object-oriented simulation software for production system analysis”, Computers & Operations Research, 32(1), 153-168.
Cody, W.F., Kreulen, J.T., Krishna, V. and Spangler, W.S. (2002), “The integration of business intelligence and knowledge management”, IBM Systems Journal, 41(4), 697-713.
Cooper, B.L., Watson, H.J., Wixom, B.H. and Goodhue, D.L. (2000), “Data warehousing supports corporate strategy at First American Corporation”, MIS Quarterly, 24(4), 547-567.
Critchlow, T., Fidelis, K., Ganesh, M., Musick, R. and Slezak, T. (2000), “Datafundry: information management for scientific data”, IEEE Transactions on Information Technology in Biomedicine, 4(1), 52-57.
Cui, Y. and Widom, J. (2003), “Lineage tracing for general data warehouse transformations”, The VLDB Journal, 12(1), 41-58.
Cui, Y., Widom, J., and Wiener, J.L. (2000), “Tracing the lineage of view data in a warehousing environment”, ACM Transactions on Database Systems, 25(2), 179-227.
Dandridge, T.C. (1979), “Children are not little `grown-ups': small business needs its own organizational theory”, Journal of Small Business Management, 7(2), 53-57.
Datta, A. and Thomas, H. (1999), “The cube data model: a conceptual model and algebra for on-line analytical processing in data warehouses”, Decision Support Systems, 27(3), 289-301.
Datta, A. and Thomas, H. (2002), “Querying compressed data in data warehouses”, Information Technology and Management, 3(4), 353-386.
Datta, A., VanderMeer, D. and Ramamritham, K. (2002), “Parallel star join+dataIndexes: efficient query processing in data warehouses and OLAP”, IEEE Transactions on Knowledge and Data Engineering, 14(6), 1299-1316.
David, J.S. and Steinbart, P.J. (1999), “Drowning in data”, Strategic Finance, 81(6), 30-34.
Davies, M. (2001), “Adaptive AHP: a review of marketing applications with extensions”, European Journal of Marketing, 35(7/8), 872-893.
Davis, L. and Williams, G. (1994), “Evaluation and selecting simulation software using the analytic hierarchy process”, Integrated Manufacturing Systems, 5(1), 23-32.
Decker, K.G., Oaks, A.J. and Salinas, M. (1997), “Building a cost engineering data warehouse”, AACE International Transactions, 202-207.
Del Aguila, M.A. and Felber, E.D. (2004), “Data warehouses and evidence-based dental insurance benefits”, The Journal of Evidence-Based Dental Practice, 4(1), 113-119.
Degraeve, Z. and Roodhooft, F. (1999), “Improving the efficiency of the purchasing process using total cost of ownership information- the case of heating electrodes at Cockerill Sambre S.A.”, European Journal of Operational Research, 112, 42-53.
DeLone, W.H. and McLean, E.R. (1992), “Information systems success: the quest for the dependent variable”, Information Systems Research, 3(1), 60-95.
Dey, D. (2003), “Record matching in data warehouses: A decision model for data consolidation”, Operations Research, 51(2), 240-254.
Dobbs, T., Stone, M. and Abbott, J. (2002), “UK data warehousing and business intelligence implementation”, Qualitative Market Research, 5(4), 235-238.
Doherty, N.F. and Doig, G. (2003), “An analysis of the anticipated cultural impacts of the implementation of data warehouses”, IEEE Transactions on Engineering Management, 50(1), 78-88.
Dolk, D. R. (2000), “Integrated model management in the data warehouse era”, European Journal of Operational Research, 122(2), 199-218.
Doukidis, G.I., Smithson, S. and Lybereas, T. (1994), “Trends in information technology in small businesses”, Journal of End User Computing, 6(4), 15-25.
Dubitzky, W., McCourt, D., Galushka, M., Romberg, M. and Schuller, B. (2004), “Grid-enabled data warehousing for molecular engineering”, Parallel Computing, 30(9-10), 1019-1035.
Dubois, D. and Prade, H. (1979), “Fuzzy real algebra: some results”, Fuzzy Sets and Systems, 2, 327-348.
Dyer, R.F. and Forman, E.H. (1992), “Group decision support with the analytic hierarchy process”, Decision Support Systems, 8, 99-124.
Eckerson, W.W. (1999), Evolution of data warehousing: the trend toward analytical applications. The Patricia Seybold Group, 1-8.
Ellram, L.M. and Siferd, S.P. (1993), “Purchasing: the cornerstone of the total cost of ownership concept”, Journal of Business Logistics, 14(1), 163-184.
Ezeife, C.I. (2001), “Selecting and materializing horizontally partitioned warehouse”, Data & Knowledge Engineering, 36(2), 185-210.
Fahey, B.G. (1996), “Building an ABC data warehouse”, Management Accounting, 77(9), 33-36.
Farias M. and Sampaio, M. C. (1999), “Efficient materialization and use of views in data warehouses”, SIGMOD Record, 28(1), 78-83.
Fink, D. (1998), “Guidelines for the successful adoption of information technology in small and medium enterprises”, International Journal of Information Management, 18(4), 243-253.
Fong, J., Li, Q. and Huang, S. (2003), “Universal data warehousing based on a meta-data modeling approach”, International Journal of Cooperative Information Systems, 12(3), 325-363.
Foote, P.S. and Krishnamurthi, M. (2001), “Forecasting using data warehousing model: Wal-Mart's experience”, The Journal of Business Forecasting Methods & Systems, 20(3), 13-17.
Forman, E.H. and Gass, S.I. (2001), “The analytic hierarchy process - an exposition”, INFORMS, 49(4), 469-486.
Frailis, M., De Angelis, A. and Roberto, V. (2004), “Perspectives in astrophysical databases”, Physica A, 338(1-2), 54-59.
Gardner, S.R. (1998), “Building the data warehouse”, Communications of the ACM, 41(9), 52-60.
Gary, A.K. (2001), “Entrepreneurship and strategy in the international SME”, Journal of International Management, 7, 155-171.
Garry, C. (2004), The evolving enterprise data warehouse market: part 1. META Group.
Ghodsypour, S.H. and Brien, C.O. (1998), “A decision support system for supplier selection using an integrated analytic hierarchy process and linear programming”, International Journal of Production Economics, 56-57, 199-212.
Glassco, R.A. (1993), “Evaluating commercial text search-and-retrieval packages”, Information Technology and Libraries, 12(4), 413-421.
Glassey, K. (1998), “Seducing the end user”, Communications of the ACM, 41(9), 62-69.
Golden, B., Wasil, E. and Harker, P. (1989), The analytic hierarchy process: applications and studies. Springer, Berlin, Germany.
Golfarelli, M., Maio, D. and Rizzi, S. (1998), “The dimensional fact model: a conceptual model for data warehouses”, International Journal of Cooperative Information Systems, 7(2-3), 215-247.
Golfarelli, M., Maniezzo, V. and Rizzi, S. (2004), “Materialization of fragmented views in multidimensional databases”, Data and Knowledge Engineering, 49(3), 325-351.
Gorla, N. (2003), “Features to consider in a data warehousing system”, Communications of the ACM, 46(11), 111-115.
Gorla, N. and Krehbiel, S. (1999), “Summers rubber company designs its data warehouse”, Interfaces, 29(2), 104-117.
Granof, M.H. (1999), “Governmental accounting and reporting: a data warehousing approach”, The Government Accountants Journal, 48(2), 30-38.
Grant, A., Moshyk, A., Diab, H., Caron, P., de Lorenzi, F., Bisson, G., Menard, L., Lefebvre, R., Gauthier, P., Grondin, R. and Desautels, M. (2006), “Integrating feedback from a clinical data warehouse into practice organization”, International Journal of Medical Informatics, 75(3/4), 232-239.
Gray, P. and Watson, H.J. (1998), Decision support in the data warehouse. Prentice-Hall, Upper Saddle River, New York.
Griese, J. and Kurpicz, R. (1982), “Investigating the buying process for the introduction of data processing in small and medium-sized firms”, Information & Management, 8(1), 41-51.
Griffiths, G.H. and Finlay, P.N. (2004), “IS-enabled sustainable competitive advantage in financial services, retailing and manufacturing”, Journal of Strategic Information Systems, 13(1), 29-59.
Grigori, D., Casati, F., Castellanos, M., Dayal, U., Sayal, M. and Shan, M. (2004), “Business process intelligence”, Computers in Industry, 53(3), 321-343.
Guan, J., Nunez, W. and Welsh, J.F. (2002) “Institutional strategy and information support: The role of data warehousing in higher education”, Campus - Wide Information Systems, 19(5), 168-174.
Guimaraes, T. and Gupta, Y. (1988), “Measuring top management satisfaction with the MIS department”, OMEGA, 16(1), 17-24.
Gupta, A. and Mumick, I.S. (1995), “Maintenance of materialized views: problems, techniques, and applications”, Data Engineering Bulletin, 18(2), 3-18.
Gupta, H. and Mumick, I.S. (2005), “Selection of views to materialize in a data warehouse”, IEEE Transactions on Knowledge and Data Engineering, 17(1), 24-43.
Halevy, A.Y. (2001), “Answering queries using views: a survey”, The VLDB Journal, 10(5), 270-294.
Han, J., Lakshmanan, L.V.S. and Ng, R.T. (1999), “Constraint-based, multidimensional data mining”, IEEE Computer, 32(8), 46 -50.
Heikkila, J., Saarinen, T. and Saaksjarvi, M. (1991), “Success of software packages in small businesses: an exploratory study”, European Journal of Information Systems, 1(3), 159-170.
Hitt, L.M. and Brynjolfsson, E. (1996), “Productivity, business profitability, and consumer surplus: three different measures of information technology value”, MIS Quarterly, 20(2), 121-141.
Hluoic, V. and Paul, R.J. (1996), “Methodological approach to manufacturing simulation software selection”, Computer Integrated Manufacturing Systems, 9(1), 49-55.
Holowczak, R.D., Adam, N.R., Artigas, F.J. and Bora, I. (2003), “Data warehousing in environmental digital libraries”, Communications of the ACM, 46(9), 172-178.
Holten, R. (2003), “Specification of management views in information warehouse projects”, Information Systems, 28(7), 709-751.
Horng, J. and Chen, C. (2001), “A mechanism for view consistency in a data warehousing system”, The Journal of Systems and Software, 56(1), 23-37.
Horng, J. and Lu, J. (2000), “Modularized design for wrappers/monitors in data warehouse systems”, The Journal of Systems and Software, 54(3), 185-199.
Hsieh, C. and Lin, B. (2002/2003), “Web-based data warehousing: current status and perspective”, The Journal of Computer Information Systems, 43(2), 1-8.
Hsueh, L.M., Lin, A.L. and B.S. Stewart (2005), White paper on small and medium enterprises in Taiwan, 2005. Small and Medium Enterprise Administration, Ministry of Economic Affairs, Taipei, Taiwan.
Huang, Z., Chen, L. and Frolick, M.N. (2002), “Integrating web-based data into a data warehouse”, Information Systems Management, 19(1), 23-34.
Huang, S., Lin, B. and Deng, Q. (2005), “Intelligent cache management for mobile data warehouse systems”, Journal of Database Management, 16(2), 46-65.
Hung, E., Cheung, D.W. and Kao, B. (2004), “Optimization in data cube system design”, Journal of Intelligent Information Systems, 23(1), 17-45.
Hurley, M.A. and Harris, R. (1997), “Facilitating corporate knowledge: building the data warehouse”, Information Management & Computer Security, 5(5), 170-174.
Hurtado, C.A., Gutierrez, C. and Mendelzon, A.O. (2005), “Capturing summarizability with integrity constraints in OLAP”, ACM Transactions on Database Systems, 30(3), 854-886.
Hwang, M. and Cappel, J.J. (2002), “Data warehouse development and management: Practices of some large companies”, The Journal of Computer Information Systems, 43(1), 3-6.
Hwang, H.G., Ku, C.Y., Yen, D.D. and Cheng, C.C. (2004), “Critical factors influencing the adoption of data warehouse technology: a case study of the banking industry in Taiwan,” Decision Support Systems, (37), 1-21.
Iacovou, C.L., Benbasat, I. and Dexter, A.S. (1995), “Electronic data interchange and small organizations: adoption and impact of technology”, MIS Quarterly, 19(4), 465-485.
IDC, “Data warehousing tools: market forecast and analysis: 2000-2004,” IDC report no. 23712, 2004.
Illa, X.B., Franch, X. and Pastor, J.A. (2000), “Formalising ERP selection criteria”, Proceedings of the Tenth International Workshop on Software Specification and Design, San Diego, California.
Ingham, J. (2000), “Data warehousing: a tool for the outcomes assessment process”, IEEE Transactions on Education, 43(2), 132-136.
Inmon, W. H. (1996), “The data warehouse and data mining”, Communications of the ACM, 39(11), 49-50.
Inmon, W.H. (2002), Building the data warehouse, Third edition. John Wiley & Sons, New York.
Inmon, W.H., Rudin, K., Buss, C.K. and Sousa, R. (1999), Data warehouse performance. John Wiley & Sons, New York.
Jarke, M., Jeusfeld, M.A., Quix, C. and Vassiliadis, P. (1999), “Architecture and quality in data warehouse: an extended repository approach”, Information Systems, 24(3), 229-253.
Jensen, M.R., Moller, T.H. and Pedersen, T.B. (2001), “Specifying OLAP cubes on XML data”, Journal of Intelligent Information Systems, 17(2-3), 255-280.
Jin, R., Vaidyanathan, K., Yang, G. and Agrawal, G. (2005), “Communication and memory optimal parallel data cube construction, IEEE Transactions on Parallel and Distributed Systems, 16(12), 1105-1119.
Jones, C. (1995), “What goes into an information warehouse?”, IEEE Computer, 28(8), 84-85.
Jones, A., Scanlon, E., Tosunoglu, C., Morris, E., Ross, S., Butcher, P. and Greenberg, J. (1999), “Contexts for evaluating educational software”, Interacting with Computers, 11(5), 499–516.
Jürgerns, M. and Lenz, H. (2001), “Tree based indexes versus bitmap indexes: a performance study”, International Journal of Cooperative Information Systems, 10(3), 355-376.
Kalnis, P., Mamoulis, N. and Papadias, D. (2002), “View selection using randomized search”, Data & Knowledge Engineering, 42(1), 89-111.
Kalnis, P. and Papadias, D. (2003), “Multi-query optimization for on-line analytical processing”, Information Systems, 28(5), 457-473.
Kang, S.T., Chung, Y.D. and Kim, M.H. (2004), “An efficient method for temporal aggregation with range-condition attributes”, Information Sciences, 168(1-4), 243-265.
Karsak, E.E. and Tolga, E. (2001), “Fuzzy multi-criteria decision-making procedure for evaluating advanced manufacturing system investments”, International Journal of Production Economics, 69, 49-64.
Kaufmann, A. and Gupta, M.M. (1988), Fuzzy mathematical models in engineering and management science. Elsevier Science Publisher, Netherlands.
Ke, H., Kwakkelaar, R., Tai, Y. and Chen, L. (2002), “Exploring behavior of E-journal users in science and technology: transaction log analysis of Elsevier’s ScienceDirect OnSite in Taiwan”, Library & information Science Research, 24, 265-291.
Keeney, R.L. (1994), “Creativity in decision marking with valued-focused thinking”, Sloan Management Review, 35(4), 33-41.
Keeney, R.L. and Raiffa, H. (1976), Decisions with multiple objectives. Wiley, New York.
Keeney, R.L. and Raiffa, H. (1993), Decisions with multiple objectives: preferences and value tradeoffs. Cambridge University Press, New York.
Kelly, S. (1997), Data warehousing in action. Wiley, New York.
Kickert, W.J.M. (1978), Fuzzy theories on decision-making. Kluwer Academic Publishers, Dordrecht, Netherlands.
Kim, J. and Moon, J.Y. (1997), “An AHP & survey for selecting workflow management systems”, Intelligent Systems in Accounting, Finance and Management, 6, 141-161.
Kim, N., Moon, S. and Lee, S. (2003), “Conflict order-based view refreshment scheme for transaction management in data warehouse environment”, The Journal of Computer Information Systems, 44(2), 105-111.
Kim, K. and Park, K.S. (1990), “Ranking fuzzy numbers with index of optimism”, Fuzzy Sets and Systems, 35, 143-150.
Kim, J., Suh, W. and Lee, H. (2003), “Hypermedia modeling for linking knowledge to data warehousing system”, Expert Systems with Applications, 24(1), 103-114.
Kim, C.S. and Yoon, Y. (1992), “Selection of a good expert system shell for instructional purposes in business”, Information & Management, 23, 249-262.
Kimball, R. (1996), The Data Warehouse Toolkits. John Wiley & Sons, New York.
Kimball, R., Reeves, L., Ross, M. and Thornthwaite, W. (1998), The data warehouse lifecycle toolkit: expert methods for designing, developing, and deploying data warehouses. John Wiley & Sons, New York.
Kimball, R. and Ross, M. (2002), The data warehouse toolkit: the complete guide to dimensional modeling. John Wiley & Sons, New York.
Kotidis, Y. and Roussopoulos, N. (2001), “A case for dynamic view management”, ACM Transactions on Database Systems, 26(4), 388-423.
Koutsoukis, N., Mitra, G. and Lucas, C. (1999), “Adapting on-line analytical processing for decision modeling: the interaction of information and decision technologies”, Decision Support Systems, 26(1), 1-30.
Kulak, O. (2005), “A decision support system for fuzzy multi-attribute selection of material handling equipments”, Expert Systems with Applications, 29(2), 310-319.
Kumar, R.L. (2000), “Justifying data warehousing investments”, Journal of Database Management, 11(3), 35-36.
Kumar, V., Maheshwari, B. and Kumar, U. (2002), “ERP systems implementation: best practices in Canadian government organizations”, Government Information Quarterly, 19, 147-172.
Kuno, H.A. and Rundensteiner, E.A. (1998), “Incremental maintenance of materialized object-oriented views in multiview: strategies and performance evaluation”, IEEE Transactions on Knowledge and Data Engineering, 10(5), 768-792.
Lai, V.S., Trueblood, R.P. and Wong, B.K. (1999), “Software selection: a case study of the application of the analytic hierarchical process to the selection of a multimedia authoring system”, Information & Management, 36, 221-232.
Lai, V.S., Wong, B.K. and Cheung, W. (2002), “Group decision making in a multiple criteria environment: a case using the AHP in software selection”, European Journal of Operational Research, 137, 134-144.
Lau, H.C.W., Wong, C.W.Y., Hui, I.K. and Pun, K.F. (2003a), “Design and implementation of an integrated knowledge system”, Knowledge-Based Systems, 16(2), 69-76.
Lau, H.C.W., Wong, C.W.Y., Lau, P.K.H., Pun, K.F., Chin, K.S. and Jiang, B. (2003b), “A fuzzy multi-criteria decision support procedure for enhancing information delivery in extended enterprise networks”, Engineering Applications of Artificial Intelligence, 16, 1-9.
Laurent, D., Lechtenbörger, J., Spyratos, N. and Vossen, G. (2001), “Monotonic complements for independent data warehouses”, The VLDB Journal, 10(4), 295-315.
Le Blanc, L.A. and Jelassi, M.T. (1989), “DSS software selection: a multiple criteria decision methodology”, Information & Management, 17(1), 49-65.
Lechtenbörger, J. and Vossen, G. (2003), “Multidimensional normal forms for data warehouse design”, Information Systems, 28(5), 415-434.
Lechtenbörger, J., Shu, H. and Vossen, G. (2002), “Aggregate queries over conditional tables”, Journal of Intelligent Information Systems, 19(3), 343-362.
Lee, M. and Hammer, J. (2001), “Speeding up materialized view selection in data warehouses using a randomized algorithm”, International Journal of Cooperative Information Systems, 10(3), 327-353.
Lee, M.L. and Hsu, W. (2005), “Improving data quality: eliminating dupes & I-D-ing those spurious links”, IEEE Potentials, 24(2), 35-38.
Lee, M.L., Hsu, W. and Kothari, V. (2004), “Cleaning the spurious links in data”, IEEE Intelligent Systems, 19(2), 28-33.
Lee, H, Kim, T. and Kim, J. (2001), “A metadata oriented architecture for building datawarehouse”, Journal of Database Management, 12(4), 15-25.
Lee, C.W. and Kwak, N.K. (1999), “Information resource planning for a health-care system using an AHP-based goal programming method”, Journal of the Operational Research Society, 50(12), 1191-1198.
Lee, A.J., Nica, A. and Rundensteiner, E.A. (2002), “The EVE approach: view synchronization in dynamic distributed environments”, IEEE Transactions on Knowledge and Data Engineering, 14(5), 931-954.
Lee, Y.W., Pipino, L., Strong, D.M. and Wang, R.Y. (2004), “Process-embedded data integrity”, Journal of Database Management, 15(1), 87-103.
Levene, M. and Loizou, G. (2003), “Why is the snowflake schema a good data warehouse design?”, Information Systems, 28(3), 225-240.
Levine, M. and Siegel, J. (2001), “What the accountant must know about data warehousing”, The CPA Journal, 71(1), 36-42.
Levy, M. and Powell, P. (2000), “Information systems strategy for small and medium sized enterprise: an organizational perspective”, Journal of Strategic Information Systems, 9(1), 63-84.
Li, J. and Srivastava, J. (2002), “Efficient aggregation algorithms for compressed data warehouses”, IEEE Transactions on Knowledge and Data Engineering, 14(3), 515-529.
Liang, W., Orlowska, M.E. and Yu, J.X. (2000), “Optimizing multiple dimensional queries simultaneously in multidimensional databases”, The VLDB Journal, 8(3-4), 319-338.
Liang, G.S. and Wang, M.J.J. (1993), “A fuzzy multi-criteria decision-making approach for robot selection”, Robotics & Computer-Integrated Manufacturing, 10(4), 267-274.
Liang, W., Wang, H. and Orlowska, M.E. (2001), “Materialized view selection under the maintenance time constraint”, Data & Knowledge Engineering, 37(2), 203-216.
Liang, W., Li, H., Wang, H. and Orlowska, M.E. (1999), Making multiple views self-maintainable in a data warehouse”, Data & Knowledge Engineering, 30(2), 121-134.
Liao, T.W. (1996), “A fuzzy multicriteria decision-making method for material selection”, Journal of Manufacturing Systems, 15(1), 1-12.
Lin, W. and Kuo, I. (2004), “A genetic selection algorithm for OLAP data cubes”, Knowledge and Information Systems, 6(1), 83-102.
Lin, Z.C. and Yang, C.B. (1996), “Evaluation of machine selection by the AHP method”, Journal of Materials Processing Technology, 57, 253-258.
Ling, F. and Dillon, T.S. (2003), “Using fuzzy linguistic representations to provide explanatory semantics for data warehouses”, IEEE Transactions on Knowledge and Data Engineering, 15(1), 86-102.
Liou, T.S. and Wang, M.J.J. (1992), “Ranking fuzzy numbers with integral value”, Fuzzy Sets and Systems, 50, 247-255.
Little, R.G.J. and Gibson, M.L. (2003), “Perceived influences on implementing data warehousing”, IEEE Transactions on Software Engineering, 29(4), 290-296.
Liu, J. and You, J. (2003), “Smart shopper: an agent-based web-mining approach to Internet shopping”, IEEE Transactions on Fuzzy Systems, 11(2), 226-237.
Love, P.E.D. and Irani, Z. (2004), “An exploratory study of information technology evaluation and benefits management practices of SMEs in the construction industry”, Information & Management, 42, 227–242.
Lu, X. and Lowenthal, F. (2004), “Arranging fact table records in a data warehouse to improve query performance”, Computers and Operations Research, 31(13), 2165-2182.
Ma, C., Chou, D.C. and Yen, D.C. (2000), “Data warehousing, technology assessment and management”, Industrial Management & Data Systems, 100(3), 125-135.
Ma, Z., Wong, K.D., Li, H. and Yang, J. (2005), “Utilizing exchanged documents in construction projects for decision support based on data warehousing technique”, Automation in Construction, 14(3), 405-412.
Macdonald, B. and Dunkelberger, R. (2000), “Fill-text database dependency: an emerging trend among undergraduate library users?”, Research Strategies, 16(4), 301-307.
Mamaghani, F. (2002), “Evaluation and selection of an antivirus and content filtering software”, Information Management & Computer Security, 10(1), 28-32.
Marks, W.T. and Frolick, M.N. (2001), “Building customer data warehouses for a marketing and service environment - a case study”, Information Systems Management, 18(3), 51-56.
Massa, S. and Testa, S. (2005), “Data warehouse-in-practice: exploring the function of expectations in organizational outcomes”, Information & Management, 42(5), 709-718.
McLoughlin, I., Rose, H. and Clark, J. (1985), “Managing the introduction of new technology”, OMEGA, 13(4), 251-262.
Meira, L. and Peres, F. (2004), “A dialogue-based approach for evaluating educational software”, Interacting with Computers, 16(4), 615–633.
Melville, M.N., Kraemer, K. and Gurbaxani, V. (2004), “Review: information technology and organizational performance: an integrative model of IT business value”, MIS Quarterly, 28(2), 283-322.
Min, H. (1992), “Selection of software: the analytic hierarchy process”, International Journal of Physical Distribution & Logistics Management, 22(1), 42-52.
Mizumoto, M. and Tanaka, K. (1976), “The four operations of arithmetic on fuzzy numbers”, Systems, Computers, Controls, 7, 73-81.
Mohammed, Q. and Arunee, I. (2001), “Management policies and the diffusion of data warehouse: a case study using system dynamic-based decision support system”, Decision Support Systems, 31(2), 223-240.
Mohania, M. and Kambayashi, Y. (2000), Making aggregate views self-maintainable”, Data & Knowledge Engineering, 32(1), 87-109.
Mohanty, R.P. and Venkataraman, S. (1993), “Use of the analytic hierarchy process for selecting automated manufacturing systems”, International Journal of Operations & Production Management, 13(8), 45-57.
Morisio, M. and Tsoukiàs, A. (1997), “IusWare: a methodology for the evaluation and selection of software products”, IEEE Proceedings of Software Engineering, 144(3), 162-174.
Moye, J. and Upton, D. (2001), “Data warehousing 101”, Strategic Finance, 82(8), 34-39.
Mukherjee, D. and D'souza, D. (2003), “Think phased implementation for successful data warehousing”, Information Systems Management, 20(2), 82-90.
Mukhopadhyay, T., Kekre, S. and Kalathur, S. (1995), “Business value of information technology: a study of electronic data interchange”, MIS Quarterly, 19(2), 137-156.
Murtaza, A.H. (1998), “A framework for developing enterprise data warehouses”, Information Systems Management, 15(4), 21-26.
Musaev, A.A. (2004), “Analytic information technologies in oil refinery”, Expert Systems with Applications, 26(1), 81-85.
Mustafa, M. A. and Al-Bahar J. F. (1991), “Project risk assessment using the analytic hierarchy process”, IEEE Transactions on Engineering Management, 38(1), 46-52.
Muth, P., O'Neil, P., Pick, A. and Weikum, G. (2000), “The LHAM log-structured history data access method”, The VLDB Journal, 8(3-4), 199-221.
Nadeau, T.P. and Teorey, T.J. (2003), “A Pareto model for OLAP view size estimation”, Information Systems Frontiers, 5(2), 137-147.
Nemati, H.R., Steiger, D.M., Iyer, L.S. and Herschel, R.T. (2002), “Knowledge warehouse: an architectural integration of knowledge management, decision support, artificial intelligence and data warehousing”, Decision Support Systems, 33(2), 143-161.
Ng, W. and Levene, M. (2001), “The development of ordered SQL packages to support data warehousing”, Journal of Database Management, 12(4), 26-39.
Ngai, E.W.T. and Chan, E.W.C. (2005), “Evaluation of knowledge management tools using AHP”, Expert Systems with Applications, 29(4), 889-899.
Nicholson, S. (2003), “The Bibliomining Process: Data Warehousing and Data Mining for Library Decision Making”, Information Technology and Libraries, 22(4), 146-151.
Nikoukaran, J., Hlupic, V. and Paul, R.J. (1999), “A hierarchical framework for evaluating simulation software”, Simulation Practice and Theory, 7(3), 219-231.
Nord, J.H. and Nord, G.D. (1995), “MIS research: journals status and analysis,” Information & Management, 29(1), 29-42.
Nydick, R.L. and Hill, R.P. (1992), “Using the analytic hierarchy process to structure the supplier selection procedure”, Journal of Purchasing and Materials Management, 25(2), 31-36.
Oates, J. (1998), “Evaluating data warehouse toolkits”, IEEE Software, 15(1), 52-54.
Olhager, J. and Selldin, E. (2003), “Enterprise resource planning survey of Swedish manufacturing firms”, European Journal of Operational Research, 146(2), 365-373.
Opfer, N.D. (2001), “Total cost ownership for information technology”, AACE International Transactions, IT71-IT76.
Orla, O.S. (1996), “Data warehousing - without the warehouse”, ABA Banking Journal, 88(12), 42-45.
Ossadnik, W. and Lange, O. (1999), “AHP-based evaluation of AHP software”, European Journal of Operational Research, 118, 578-588.
Palpanas, T. (2000), “Knowledge discovery in data warehouses”, SIGMOD Record, 29(3), 88.
Palpanas, T., Koudas, N. and Mendelzon, A. (2005), “Using datacube aggregates for approximate querying and deviation detection”, IEEE Transactions on Knowledge and Data Engineering, 17(11), 1465-1477.
Palopoli, L., Pontieri, L., Terracina, G. and Ursino, D. (2002), “A novel three-level architecture for large data warehouses”, Journal of Systems Architecture, 47(11), 937-958.
Palopoli, L., Terracina,G. and Ursino, D. (2003), “Experiences using DIKE, a system for supporting cooperative information system and data warehouse design”, Information Systems, 28(7), 835-865.
Park, C., Kim, M.H. and Lee, Y. (2002), “Finding an efficient rewriting of OLAP queries using materialized views in data warehouse”, Decision Support Systems, 32(4), 379-399.
Partovi, F.Y., Burton, J. and Banerjee, A. (1989), “Application of analytic hierarchy process in operations management”, International Journal of Operations and Production Management, 10(3), 5-19.
Payton, F.C. and Zahay, D. (2003), “Understanding why marketing does not use the corporate data warehouse for CRM applications”, Journal of Database Management, 10(4), 315-326.
Pedersen, T.B. and Jensen, C.S. (2001), “Multidimensional database technology”, IEEE Computer, 34(12), 40-46.
Pedrycz, W. and Gomide, F. (1998), An introduction to fuzzy sets: analysis and design. The MIT Press, Cambridge, Massachusetts.
Peng, Z., Li, Q., Feng, L., Li, X. and Liu, J. (2005), “Using object deputy model to prepare data for data warehousing”, IEEE Transactions on Knowledge and Data Engineering, 17(9), 1274-1288.
Phillips, J.T. (1997), “What's in that data warehouse?”, ARMA Records Management Quarterly, 31(2), 54-56.
Phillips-Wren, G.E., Hahn, E.D. and Forgionne, G.A. (2004), “A multiple-criteria framework for evaluation of decision support systems”, OMEGA, 32(4), 323-332.
Pierce, E.M. (1999), “Developing and delivering a data warehousing and mining course”, Communications of AIS, 2, 1-23.
Porter, M.E. and Millar, V.E. (1985), “How information gives you competitive advantage”, Harvard Business Review, 85(4), 149-160.
Pottinger, R. and Halevy, A. (2001), “MiniCon: A scalable algorithm for answering queries using views”, The VLDB Journal, 10(2-3), 182-198.
Preston, D. and Brohman, K. (2002), “Outsourcing opportunities for data warehousing business usage”, Logistics Information Management, 15(3), 204-211.
Prince, E.T. (1996), “Toward the new age data warehouse”, Information Systems Management, 13(4), 63-65.
Quinn, J.B. and Baily, M.N. (1994), “Information technology: increasing productivity in services”, Academy of Management Executives, 8(3), 28-51.
Rafalski, E. and Mullner, R. (2003), “Ensuring HIPAA compliance using data warehouses for healthcare marketing”, The Journal of Consumer Marketing, 20(7), 629-633.
Raghupathi, W. and Tan, J. (2002), “Strategic IT applications in health care”, Communications of the ACM, 45(12), 56-61.
Rahm, E. and Bernstein, P.A. (2001), “A survey of approaches to automatic schema matching”, The VLDB Journal, 10(4), 334-350.
Raisinghani, M.S. (2000), “Adapting data modeling techniques for data warehouse design”, The Journal of Computer Information Systems, 40(3), 73-77.
Rao, S.S. (2000), “Enterprise resource planning: business needs and technologies”, Industrial Management & Data Systems, 100(2), 81-88.
Raydel, T. and Lee, U.R. (1994), “A decision support system for integration of vendor selection task, Journal of Applied Business Research, 10(1), 132-143.
Raymond, L. (1990), “Organizational context and information systems success: a contingency approach”, Journal of Management Information Systems, 6(4), 5-20.
Remenyi, D., Money, A., Sherwood-Smith, M. and Irani, Z. (2000), The effective measurement and management of IT costs and benefits (2nd ed.). Butterworth-Heinemann, Oxford.
Roper-Lowe, G.C. and Sharp, J.A. (1990), “The analytic hierarchy process and its application to an information technology decision”, The Journal of the Operational Research Society, 41(1), 49-59.
Rossille, D., Laurent, J. and Burgun, A. (2005), “Modelling a decision-support system for oncology using rule-based and case-based reasoning methodologies”, International Journal of Medical Informatics, 74(2-4), 299-306.
Roussopoulos, N. (1998), “Materialized views and data warehouses”, SIGMOD Record, 27(1), 21-26.
Rundensteiner, E.A., Koeller, A. and Zhang, X. (2000), “Maintaining data warehouses over changing information sources”, Communications of the ACM, 43(6), 57-62.
Saaty, T.L. (1980), The analytic hierarchy process. McGraw-Hill, New York.
Saaty, T.L. (1986), “Axiomatic foundations of the analytic hierarchy process”, Management Science, 32(7), 841-855.
Saaty, T.L. (1990a), Decision making for leaders – the analytic hierarchy process for decisions in a complex world. RWS Publications, Pittsburgh.
Saaty, T.L. (1990b), “How to make a decision: the analytic hierarchy process”, European Journal of Operational Research, 48, 9-26.
Saaty, T.L. and Vargas, L.G. (1991), Prediction, projection and forecasting. Kluwer Academic Publishers, Boston, Massachusetts.
Saaty, T.L. and Vargas, L.G. (1994), Decision making in economic, political, social, and technological environments with the analytic hierarchy process. RWS Publications, Pittsburgh.
Saaty, T.L. (1995), Decision making for leaders – the analytic hierarchy process for decisions in a complex world, 1995/1996 Edition. RWS Publications, Pittsburgh.
Saaty, T.L. and Vargas, L.G. (2000), Models, methods, concepts & applications of the analytic hierarchy process. Kluwer Academic Publishers, Boston, Massachusetts.
Sahay, B.S. and Gupta, A.K. (2003), “Development of software selection criteria for supply chain solutions”, Industrial Management & Data Systems, 103(2), 97-110.
Sarkis, J. and Talluri, S. (2004), “Evaluating and selecting e-commerce software and communication systems for a supply chain”, European Journal of Operational Research, 159(2), 318-329.
Sauls, W. (1996), “Leveraging the data warehouse”, Management Accounting, 78(4), 39-42.
Schubart, J.R. and Einbinder, J.S. (2000), “Evaluation of a data warehouse in an academic health sciences center”, International Journal of Medical Informatics, 60(3), 319-333.
Scott, J. (1998), “Warehousing over the web”, Communications of the ACM, 41(9), 64-65.
Seidmann, A. and Arbel, A. (1983), “An analytic approach for planning computerized office systems”, OMEGA, 11(6), 607-617.
Seidmann, A. and Arbel, A. (1984), “Microcomputer selection process for organizational information management”, Information & Management, 7, 317-329.
Sen, A. (2004), “Metadata management: past, present and future”, Decision Support Systems, 37(1), 151-173.
Sen, A. and Sinha, A. P. (2005), “A comparison of data warehousing methodologies”, Communications of the ACM, 48(3), 79-84
Sethi, V. and King, W.R. (1994), “Development of measures to access the extent to which an information technology application provides competitive advantage”, Management Science, 40(12), 1601-1627.
Shanks, G. and Darke, P.A. (1998), “Framework for understanding data quality”, Journal of Data Warehousing, 3(3), 46-51.
Shin, B. (2002), “A case of data warehousing project management”, Information & Management, 39(7), 581-592.
Sigal, M. (1998), “A common sense development strategy”, Communications of the ACM, 41(9), 42-43.
Simitsis, A., Vassiliadis, P. and Sellis, T. (2005), “State-space optimization of ETL workflows”, IEEE Transactions on Knowledge and Data Engineering, 17(10), 1404-1419.
Singleton, J.P. and Schwartz, M.M. (1994), “Data access within the Information Warehouse framework”, IBM Systems Journal, 33(2), 300-325.
Solomon, M.D. (2005), “Ensuring a successful data warehouse initiative”, Information Systems Management, 22(1), 26-36.
Sowder, W.E. (1972), “A scoring methodology for assessing the suitability of management science models”, Management Science, 18(10), 526-543.
Srivastava, J. and Chen, P. (1999), “Warehouse creation - a potential roadblock to data warehousing”, IEEE Transactions on Knowledge and Data Engineering, 11(1), 118 -126.
Stamelos, I., Vlahavas, I., Refanidis, I. and Tsoukiàs, A. (2000), “Knowledge based evaluation of software systems: a case study”, Information & Software Technology, 42(5), 333-345.
Stefanovic, N., Han, J. and Koperski, K. (2000), “Object-based selective materialization for efficient implementation of spatial data cubes”, IEEE Transactions on Knowledge and Data Engineering, 12(6), 938 -958.
Stewart, N. (2001), Data warehousing and business intelligence market forecast 2001-2005. Survey.com market forecast report, 2001.
Stolte, C., Tang, D. and Hanrahan, P. (2002), “Polaris: a system for query, analysis, and visualization of multidimensional relational databases”, IEEE Transactions on Visualization and Computer Graphics, 8(1), 52 -65.
Strange, K. (2004), Magic Quadrant for Data Warehouse DBMSs. Gartner, Inc.
Stylianou, A.C., Madey, G.R. and Smith, R.D. (1992), “Selection criteria for expert system shells: a socio-technical framework”, Communications of the ACM, 35(10), 30-48.
Su, S.T. and Needamangala, A. (2000), “Harvesting information from a library data warehouse”, Information Technology and Libraries, 19(1), 17-28.
Subramanian, G.H. and Gershon, M. (1991), “The selection of computer-aided software engineering tools: a multi-criteria decision making approach”, Decision Sciences, 22(5), 1109-1123.
Subramanian, A., Smith, L.D., Nelson, A.C., Campbell, J.F. and Bird, D.A. (1997), “Strategic planning for data warehousing”, Information & Management, 33(2), 99-113.
Sujitparapitaya, S., Janz, B. and Gillenson, M. (2003), “The contributions of IT governance solutions to the implementation of data warehouse practice”, Journal of Database Management, 14(2), 52-69.
Sutherland, K. (2003), “How to use your database or data warehouse of profitability information to make better marketing decisions”, The Journal of Bank Cost & Management Accounting, 16(1), 25-30.
Sutter, J.R. (1998), “Project-based warehouses”, Communications of the ACM, 41(9), 49-51.
Tagliavini, M., Faverio, P., Ravarini, A., Pigni, F. and Buonanno, G. (2002), “Exploring the use of ERP systems by SMEs”, Proceedings of SCI 2002 Conference, July 2002, Orlando, USA.
Taiwan Stock Exchange Corporation (TSEC), 2005, http://www.tse.com.tw.
Tam, K.Y. and Hui, K.L. (2001), “A choice model for the selection of computer vendors and its empirical estimation”, Journal of Management Information Systems, 17(4), 97-124.
Tam, M.C.Y. and Tummala, V.M.R. (2001), “An application of the AHP in vendor selection of a telecommunications system”, OMEGA, 29, 171-182.
Tao, Y. and Papadias, D. (2005), “Historical spatio-temporal aggregation”, ACM Transactions on Information Systems, 23(1), 61-102.
Teltumbde, A. (2000), “A framework for evaluating ERP projects”, International Journal of Production Research, 38(17), 4507-4520.
Templeton, M., Henley, H., Maros, E. and Van Buer, D.J. (1995), “InterViso: dealing with the complexity of federated database access”, The VLDB Journal, 4(2), 287-317.
Terano, T., Asai, K. and Sugeno, M. (1992), Fuzzy systems theory and its applications. Academic Press, San Diego, CA.
Thalhammer, T., Schrefl, M. and Mohania, M. (2001), “Active data warehouse: complementing OLAP with analysis rules”, Data & Knowledge Engineering, 39(3), 241-269.
Themistocleous, M. and Irani Z. (2002), “Evaluating and adopting application integration: the case of a multinational petroleum company”, Proceedings of the 35th Hawaii International Conference on System Science, Hawaii.
Theodoratos, D. (2000), “Incremental design of a data warehouse”, Journal of Intelligent Information Systems, 15(1), 7-27.
Theodoratos, D. (2001), “Detecting redundant materialized views in data warehouse evolution”, Information Systems, 26(5), 363-381.
Theodoratos, D. and Bouzeghoub, M. (2001), “Data currency quality satisfaction in the design of a data warehouse”, International Journal of Cooperative Information Systems, 10(3), 299-326.
Theodoratos, D., Ligoudistianos, S. and Sellis, T. (2001), “View selection for designing the global data warehouse”, Data & Knowledge Engineering, 39(3), 219-240.
Theodoratos, D. and Sellis, T. (1999), “Designing data warehouse”, Data & Knowledge Engineering, 31(3), 279-301.
Thomas, H. and Datta, A. (2001), “A conceptual model and algebra for on-line analytical processing in decision support databases”, Information Systems Research, 12(1), 83-102.
Thong, J.Y.L. (1999), “An integrated model of information systems adoption in small businesses”, Journal of Management Information Systems, 15(4), 187-214.
Thong, J.Y.L. (2001), “Resource constraints and information systems implementation in Singaporean small businesses”, OMEGA, 29(2), 143-156.
Thong, J.Y.L., Yap, C.S. and Raman, K.S. (1996), “Top management support, external expertise and information systems implementation in small businesses”, Information Systems Research, 7(2), 248-267.
Timmreck, E.M. (1973), “Computer selection methodology”, ACM Computing Surveys, 5(4), 199-222.
Tolkin, S. (1999), “Aggregation everywhere: data reduction and transformation in the Phoenix data warehouse”, Proceedings of the second ACM international workshop on Data warehousing and OLAP, November 6, 1999, Kansas City, Missouri, USA.
Tong, G.C. (2003), The status of data warehousing market and application trend in Taiwan (in Chinese). Market Intelligence Center, Information Industry Institute, Taipei, Taiwan.
Triantafillakis, A., Kanellis, P. and Martakos, D. (2004), “Data warehouse interoperability for the extended enterprise”, Journal of Database Management, 15(3), 73-84.
Triantafillakis, A, Kanellis, P. and Martakos, D. (2005), “Data warehouse clustering on the web”, European Journal of Operational Research, 160(2), 353-364.
Trujillo, J., Luján-Mora, S. and Song. I. (2004), “Applying UML and XML for designing and interchanging information for data warehouses and OLAP applications”, Journal of Database Management, 15(1), 41-72.
Trujillo, J., Palomar, M., Gomez, J. and Song, I. (2001), “Designing data warehouses with OO conceptual models”, IEEE Computer, 34(12), 66 -75.
Tseng, F.S.C. (2005), “Design of a multi-dimensional query expression for document warehouses”, Information Sciences, 174(1-2), 55-79.
Udo, G.G. (2000), “Using analytic hierarchy process to analyze the information technology outsourcing decision”, Industrial Management & Data Systems, 100(9), 421-429.
Vaduva, A. and Vetterli, T. (2001), “Metadata management for data warehousing: an overview”, International Journal of Cooperative Information Systems, 10(3), 273-298.
Vaidya, O.S. and Kumar, S. (2006), “Analytic hierarchy process: an overview of applications”, European Journal of Operational Research, 169, 1-29.
Vaisman, A.A., Mendelzon, A.O., Ruaro, W. and Cymerman, S.G. (2004), “Supporting dimension updates in an OLAP server”, Information Systems, 29(2), 165-185.
Van den Hoven, J. (1998a), “Data marts: plan big, build small”, Information Systems Management, 15(1), 71-73.
Van den Hoven, J. (1998b), “Data warehousing: bringing it all together,” Information Systems Management, 15(2), 92-95.
Van Everdingen, Y., Van Hillegersberg, J., and Waarts, E. (2000), “ERP adoption by European midsize companies”, Communication of the ACM, 43(4), 27-31.
Vargas, L.G. (1990), “An overview of the analytic hierarchy process and its applications”, European Journal of Operational Research, 48, 2-8.
Vassiliadis, P., Bouzeghoub, M. and Quix, C. (2000), “Towards quality-oriented data warehouse usage and evolution”, Information Systems, 25(2), 89-115.
Vassiliadis, P., Quix, C., Vassiliou, Y. and Jarke, M. (2001b), “Data warehouse process management”, Information Systems, 26(3), 205-236.
Vassiliadis, O. and Sellis, T. (1999), “A survey of logical models for olap databases”, SIGMOD Record, 28(4), 64-69.
Vassiliadis, P., Simitsis, A., Georgantas, P., Terrovitis, M. and Skiadopoulos, S. (2005), “A generic and customizable framework for the design of ETL scenarios”, Information Systems, 30(7), 492-525.
Vassiliadis, P., Vagena, Z., Skiadopoulos, S., Karayannidis, N. and Sellis, T. (2001a), “Arktos: towards the modeling, design, control and execution of ETL processes”, Information Systems, 26(8), 537-561.
Vatanasombut, B. and Gray, P. (1999), “Factors for success in data warehousing: what the literature tells us”, Journal of Data Warehousing, 4(3), 25-33.
Vetterli, T., Vaduva, A. and Staudt, M. (2000), “Metadata standards for data warehousing: open information model vs. common warehouse metadata”, SIGMOD Record, 29(3), 68-75.
Vlahavas, I., Stamelos, I., Refanidis, I. and Tsoukiàs, A. (1999), “ESSE: an expert system for software evaluation”, Knowledge-Based Systems, 12(4), 183-197.
Wang, H. F. (2004), Multicriteria decision analysis – from certainty to uncertainty. Tsang Hai Book Publishing Co., Taichung, Taiwan.
Wang, M.J.J. and Chang T.C. (1995), “Tool steel materials selection under fuzzy environment”, Fuzzy Sets and Systems, 72, 263-270.
Wang, J. and Lin, Y.I. (2003), “A fuzzy multicriteria group decision making approach to select configuration items for software development”, Fuzzy Sets and Systems, 134, 343-363.
Wang, T. and Lin Y. (2005), “The application of fuzzy group decision making method on contractor selecting for information system outsourcing”, Proceeding of the10th Annual Conference of Asia-Pacific Decision Sciences Institute (APDSI), June 28 – July 2, 2005, Taipei, Taiwan.
Watson, H.J. (2001), “Current practices in data warehousing”, Information Systems Management, 18(1), 47-55.
Watson, H., Ariyachandra, T. and Matyska, J.R.J. (2001), “Data warehousing stages of growth”, Information Systems Management, 18(3), 42-50.
Watson, H.J., Fuller, C. and Ariyachandra, T. (2004), “Data warehouse governance: best practices at Blue Cross and Blue Shield of North Carolina”, Decision Support Systems, 38(3), 435-450.
Watson, H.J., Gerard, J.G., Gonzalez, L.E., Haywood, M.E. and Fenton, D. (1999), “Data warehousing failures: case studies and findings”, Journal of Data Warehousing, 4(1), 44-55.
Watson, H.J., Goodhue, D.L. and Wixom, B.H. (2002), “The benefits of data warehousing: why some organizations realize exceptional payoffs”, Information & Management, 39(6), 491-502.
Watson, H.J. and Haley, B.J. (1997), “Data warehousing: a framework and survey of current practices”, Journal of Data Warehousing, 2(1), 10-17.
Watson, H.J. and Swift, R.S. (2002), “Data warehousing around the world”, Journal of Global Information Technology Management, 5(2), p. 1-6.
Wei, C., Chien, C. and Wang, M.J. (2005), “An AHP-based approach to ERP system selection”, International Journal of Production Economics, 96(1), 47-62.
Wells, J.D. and Hess, T.J. (2002), “Understanding decision-making in data warehousing and related decision support systems: an explanatory study of a customer relationship management application”, Information Resources Management Journal, 15(4), 16-32.
Welsh, J.A. and White, J.F. (1981), “A small business is not a little big business”, Harvard Business Review, 59(4), 18-32.
Witkowski, A., Bellamkonda, S., Bozkaya, T., Folkert, N., Gupta, A., Haydu, J., Sheng, L. and Subramanian, S. (2005), “Advanced SQL modeling in RDBMS”, ACM Transactions on Database Systems, 30(1), 83-121.
Wixom, B.H. and Watson, H.J. (2001), “An empirical investigation of the factor affecting data warehousing success”, MIS Quarterly, 25(1), 17-41.
Wong, S.T.C., Hoo Jr, K.S., Cao, X., Tjandra, D., Fu, J.C. and Dillon, W.P. (2004), “A neuroinformatics database system for disease-oriented neuroimaging research”, Academic Radiology, 11(3), 345-358.
Wu, L., Miller, L. and Nilakanta, S. (2001), “Design of data warehouses using metadata”, Information and Software Technology, 43(2), 109-119.
Yap, C.S., Soh, C.P.P. and Raman, K.S. (1992), “Information systems success factors in small business”, OMEGA, 20(5/6), 597-609.
Yeh, C.H., Deng, F. and Chang, Y.H. (2000), “Fuzzy multicriteria analysis for performance evaluation of bus companies”, European Journal of Operational Research, 126, 459-473.
Yeung, G.C.H. and Gruver, W.A. (2005), “Multiagent immediate incremental view maintenance for data warehouses”, IEEE Transactions on Systems, Man and Cybernetics - Part A: System and Humans, 35(2), 305-310.
Yoon, K.P. and Hwang, C.L. (1995), Multiple attribute decision making: an introduction. Sage Publications, Thousand Oaks, CA.
Yu, J.X., Yao, X., Choi, C. and Gou, G. (2003), “Materialized view selection as constrained evolutionary optimization”, IEEE Transactions on Systems, Man and Cybernetics - Part C: Applications and Reviews, 33(4), 458-467.
Zadeh, L.A. (1965), “Fuzzy sets”, Information and Control, 8, 338-353.
Zadeh, L.A. (1975), “The concept of a linguistic variable and its application to approximate reasioning”, Part I, Information Sciences, 8(3), 199-249; Part II, Information Sciences, 8(4), 301-357; Part III, Information Sciences, 9(1), 43-80.
Zahedi, F. (1985), “Data-base management system evaluation and selection decisions”, Decision Sciences, 16, 91-116.
Zahedi, F. (1986), “The analytic hierarchy process - a survey of the method and its applications”, Interfaces, 16(4), 96-108.
Zahedi, F. (1990), “A method for quantitative evaluation of expert systems”, European Journal of Operational Research, 48, 136-147.
Zaman, K.A. and Padmanabhan, S. (2001), “An efficient workload-based data layout scheme for multidimensional data”, Data & Knowledge Engineering, 39(3), 271-291.
Zeng, Y., Chiang, R.H.L. and Yen, D.C. (2003), “Enterprise integration with advanced information technologies: ERP and data warehousing”, Information Management & Computer Security, 11(2/3), 115-122.
Zhang, X., Fiedler, R.and Popovich, M. (2004a), “A biointelligence system for identifying potential disease outbreaks”, IEEE Engineering in Medicine and Biology Magazine, 23(1), 58-64.
Zhang, X. and Rundensteiner, E.A. (2002), “Integrating the maintenance and synchronization of data warehouses using a cooperative framework”, Information Systems, 27(4), 219-243.
Zhang, C., Yao, X. and Yang, J. (2001), “An evolutionary approach to materialized views selection in a data warehouse environment”, IEEE Transactions on Systems, Man and Cybernetics - Part C: Applic |
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