|| G. Piatetsky-Shapiro and W. J. Frawley, Knowledge Discovery in Databases, AAAI/MIT Press, 1991.|
 M. S. Chen, J. Han, and P. S. Yu, Data Mining : An Overview from Database Perspective, IEEE Transactions on Knowledge and Data Engineering, 8(6):866-883, 1996.
 U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, Advances in Knowledge Discovery and Data Mining, AAAI/MIT Press, 1996.
 K. J. Cios, W. Pedrycz, and R. Swiniarski, Data Mining Methods for Knowledge Discovery, Dordrecht, The Netherlands: Kluwer, 1998.
 S. Mitra, S. K. Pal, and P. Mitra, Data Mining in Soft Computing Framework : A Survey, IEEE Transactions on Neural Networks, 13(1):3-14, 2002.
 R. Agrawal, T. Imielinski, and A. Swami, Mining Association Rules between Sets of Items in Large Databases, Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, pp.207-216, 1993.
 R. Agrawal, and R. Srikant, Fast Algorithms for Mining Association Rules in Large Databases, Proceedings of the 20th International Conference on Very Large Data Bases, pp.478-499, 1994.
 J. S. Park, M. S. Chen, and P. S. Yu, An Effective Hash- Based Algorithm for Mining Association Rules, Proceedingds of the 1995 ACM SIGMOD International Conference on Management of Data, pp.175-186, 1995.
 J. Han, Y. Cai, and N. Cercone, Knowledge Discovery in Databases : An Attribute-Oriented Approach, Proceedings of the 18th International Conference on Very Large Data Bases, pp.547-559, 1992.
 X. Hu, and N. Cercone, Mining Knowledge Rules from Databases : A Rough Set Approach, Proceedingds of 12th International Conference on Data Engineering, pp.96-105, 1996.
 N. Zhong, J. Z. Dong, S. Ohsuga and T. Y. Lin, An Incremental, Probabilistic Rough Set Approach to Rule Discovery, Proceedingds of the 1998 IEEE International Conference on Fuzzy Systems, 2:933-938, 1998.
 Y. L. Chen, C. L. Hsu, and S. C. Chou, Constructing a multi-valued and multi-labeled decision tree, Expert Systems with Applications, 25(2):199-209, 2003.
 M. Garofalakis, D. Hyun, R. Rastogi, and K. Shim, Building Decision Tree with Constraints, Data Mining and Knowledge Discovery, 7(2):187-214, 2003.
 B. Liu, Y. Ma, C. K. Wong, and P. S. Yu, Scoring the Data Using Association Rules, Applied Intelligence, 18(2):119-135, 2003.
 X. Yin, and J. Han, CPAR : Classification based on Predictive Association Rules, Proceedingds of SIAM International Conference on Data Mining, 2003.
 J. Han, M. Kamber, and A. K. H. Tung, Spatial Clustering Methods in Data Mining : A Survey, Geographic Data Mining and Knowledge Discovery, Taylor & Francis, 2001.
 A. K. H.Tung, J. Han, L. V. S. Lakshmanan, and R. T. Ng, Constraint-Based Clustering in Large Databases, Proceedingds of 2001 International Conference on Database Theory, 2001.
 J. Han, G. Dong, and Y. Yin, Efficient Mining of Partial Periodic Patterns in Time Series Database, Proceedings of 15th International Conference on Data Engineering, pp.106-115, 1999.
 J. Pei, J. Han, B. Mortazavi-Asl, H. Pinto, Q. Chen, U. Dayal, and M. C. Hsu, PrefixSpan : Mining Sequential Patterns Efficiently by Prefix-Projected Pattern Growth, Proceedings of 17th International Conference on Data Engineering, pp.215-224, 2001.
 Y. L. Chen, M. C. Chiang, and M. T. Kao, Discovering time-interval sequential patterns in sequential databases, Expert Systems with Applications, 25(3):343-354, 2003.
 J. Yang, W. Wang, P. S. Yu, and J. Han, Mining Long Sequential Patterns in a Noisy Environment, Proceedings of the 2002 ACM SIGMOD International Conference on Management of Data, pp.406-417, 2002.
 X. Yan, J. Han, and R. Afshar, CloSpan : Mining Closed Sequential Patterns in Large Databases, Proceedings of SIAM International Conference on Data Mining, 2003.
 K. Wang, and H. Liu, Discovering Structural Association of Semistructured Data, IEEE Transactions on Knowledge and Data Enginering, 12(3):353-371, 2000.
 M. Kuramochi, and G. Karypis, Frequent Subgraph Discovery, Proceedings of IEEE International Conference on Data Mining, pp.313-320, 2001.
 X. Yan, and J. Han, gSpan : Graph-Based Substructure Pattern Mining, Proceedings of 2002 IEEE International Conference on Data Mining, pp.721-724, 2002.
 X. Yan, and J. Han, CloseGraph : Mining Closed Frequent Graph Patterns, Proceedings of 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.286-295, 2003.
 J. Srivastava, R. Cooley, M. Deshpande, and P. N. Tan, Web Usage Mining : Discovery and Applications of Usage Patterns from Web Data, ACM SIGKDD Explorations Newsletter, 1(2):12-23, 2000.
 M. Spiliopoulou, B. Mobasher, B. Berendt, and M. Nakagawa, A Framework for the Evaluation of Session Reconstruction Heuristics in Web Usage Analysis, INFORMS Journal on Computing, 15(2):171-204, 2003.
 F. Masseglia, P. Poncelet, and R. Cicchetti, An efficient algorithm for Web usage mining, Networking and Information Systems Journal (NIS), 2(5-6):571-603, 1999.
 Q. Yang, J. Z. Huang, and M. Ng, A Data Cube Model for Prediction-Based Web Prefetching, Journal of Intelligent Information Systems, 20(1):11-30, 2003.
 V. Carchiolo, A. Longheu, and M. Malgeri, Extracting Logical Schema from the Web, Applied Intelligence, 18(3):341-355, 2003.
 Y. Fu, M. Creado, and M. Y. Shih, Adaptive Web Sites by Web Usage Mining, International Conference on Internet Computing, IEEE, 2001.