參考文獻 |
[1] R. Agrawal, and R. Srikant, “Mining Sequential Patterns,” Proc. 11th Int’l Conf. on Data Eng., pp. 3-14, Mar. 1995.
[2] Pei, J., et al., “PrefixSpan: mining sequential patterns efficiently by prefix-projected pattern growth,” in Data Engineering, 2001. Proceedings. 17th International Conference on, Heidelberg, Germany, pp. 215-224, 2001.
[3] Srikant, R. and R. Agrawal, “Mining Sequential Patterns: Generalizations and Performance Improvements,” in Preceedings of the 5th International Conference on Extending Database Technology (EDBT), Avignon, France, IBM Research Division, pp. 3-17, 1996.
[4] Han, J., et al., “FreeSpan: frequent pattern-projected sequential pattern mining,” in Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, Boston, Massachusetts, United States, ACM Press, pp. 355-359, 2000.
[5] Zaki, M.J., “SPADE: An Efficient Algorithm for Mining Frequent Sequences,” Machine Learning, vol. 42, no. 1, pp. 31-60, 2001.
[6] Kam, P.-s. and A.W.-c. Fu, “Discovering temporal patterns for interval-based events,” in Proceeding of Second International Conference on Data Warehousing and Knowledge Discovery, London, UK, Springer, pp. 317-326, 2000.
[7] Wu, S.-Y. and Y.-L. Chen, “Mining non-ambiguous temporal patterns for interval-based events,” IEEE Transactions on Knowledge and Data Engineering, vol. 19, no. 6, pp. 742-758, 2007.
[8] Wu, S.-Y. and Y.-L. Chen, “Discovering Hybrid Temporal Patterns from Sequences Consisting of Point- and Interval-Based Events,”
[9] Yu Hirate, and Hayato Yamana, “Generalized Sequential Pattern Mining with Item intervals,” Journal of Computers, vol. 1, no. 3, pp. 51-60, 2006.
[10] Q. Zhao and S. S. Bhowmick, “Sequential pattern mining: a survey,” Technical Report, CAIS, Nanyang Technological University, Singapore, No. 2003118, 2003.
[11] R. Srikant, R. Agrawal., “Mining Sequential Patterns: Generalizations and Performance Improvements,” in Proceedings of 5th Interational Conference on Extending Database Technology (EDBT), Avignon, France, pp. 3-17, 1996. (Expanded version available as IBM Research Report RJ 9994)
[12] H. Mannila, H. Toivonen, and A.I. Verkamo, “Discovering frequent episodes in sequences,” In Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD ’95), Montr´eal, Canada, pp. 210-215, 1995.
[13] Y.-L. Chen, M. C. Chiang, M. T. Ko, “Discovering time-interval sequential patterns in sequence databases,” Expert Systems with Applications, vol. 25 no. 3, pp. 343-354, 2003.
[14] M. Yoshida, T. lizuka, H. Shiohara, and M. Ishiguro, “Mining Sequential Patterns Including Time Intervals,” In Proceedings of SPIE on Data Mining and Knowledge Discovery : Theory, Tools, and Technology II, Belur V. Dasarathy, vol. 4057, pp. 213-220, 2000.
[15] Y. L. Chen, and T. C. K. Huang, “Discovering fuzzy time-interval sequential patterns in sequence databases,” IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, vol. 35(5), pp. 959-972, 2005.
[16] Show-Jane Yen and Yue-Shi Lee, “Mining Time-Gap Sequential Patterns from Transaction Databases,” Journal of Computers, vol. 14, No. 2, pp. 30-46, 2002.
[17] R. Agrawal, J. Gehrke, D. Gunopulos, P. Raghavan, “Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications,” In Proceedings of the ACM SIGMOD International Conference on Management of Data, Seattle, Washington, pp. 94-105, 1998.
[18] Achelis, Steven B., “Technical Analysis from A to Z,” McGraw-Hill, New York, 2000.
[19] Appel, G. and W. F. Hitschler, “Stock Market Trading System,” South Carolina: Traders. Press, 1979.
[20] Arthur Hill, “Moving Average Convergence/Divergence (MACD),” http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:moving_average_conve
[21] Martin and J. Pring, “Technical Analysis Explained: The Successful Investor's Guide to Spotting Investment Trends and Turning Points,” McGraw-Hill, New York, 1999 |