|
[1] R. Agrawal and J. C. Shafer, "Parallel mining of association rules," IEEE Tran. Knowledge and Data Engineering, Vol. 8, No. 6, pp. 962-969, Dec., 1996. [2] R. Agrawal, T. Imielinski, and A. Swami, "Database mining: a performance perspective," IEEE Tran. Knowledge and Data Engineering, Vol. 5, No. 6, pp. 914-925, Dec., 1993. [3] C. Apte, S. Weiss, "Data mining with decision trees and decision rules," Future Generation Computer Systems Vol.13 pp.197-210, 1997. [4] M.-S. Chen, J. Han and P. S. Yu, "Data Mining: An Overview from Database Perspective,'' IEEE Trans. on Knowledge and Data Engineering, Vol. 8, No. 6, pp. 866-883, Dec., 1996. [5] D.W Cheung, A. W.-C. Fu, and J. Han, "Knowledge discovery in databases: A rule-based attribute-oriented approach," Proc. 1994 Int'l Symp. on Methodologies for Intelligent Systems, pp. 164-173, Charlotte, North Carolina, Oct., 1994. [6] D. W. Cheung, V. T. Ng, A. W. Fu, and Y. Fu, "Efficient mining of association rules in distributed databases," IEEE Tran. Knowledge and Data Engineering, Vol. 8, No. 6, pp. 911-922, Dec., 1996. [7] U. Fayyad , P. Stolorz , "Data mining and KDD: Promise and challenges," Future Generation Computer Systems Vol.13, pp. 99-115, 1997. [8] J. Han, "Mining knowledge at multiple concept levels," Proc. 4th Int. Conf. on Information and Knowledge Management, pp. 19-24, Baltimore. Maryland, Nov.1995. [9] J. Han, " Data mining techniques," ACM-SIGMOD'96 CONFERENCE TUTORIAL, Jun., 1996. [10] J. Han, Y. Cai, and N. Cercone, "Data-driven discovery of quantitative rules in relational database," IEEE Tran. Knowledge and Data Engineering, Vol. 5, No. 1, pp. 29-40, Feb., 1993. [11] J. Han and Y. Fu, "Dynamic generation and refinement of concept hierarchies for knowledge discovery in databases," Proc. AAAI'94 Workshop on knowledge Discovery in Databases (KDD'94) ,pp. 157-168, Seattle, Wa, Jul., 1994. [12] T. B. Ho, "Discovering and using knowledge from unsupervised data," Japan Advanced Institute of Science and Technology, Tatsunokuchi, Ishikawa, 923-12 Japan. [13] G. J. Hwang and S. S. Tseng, "EMCUD: A knowledge acquisition method which captures embedded meanings under uncertainty," International Journal of Man Machine Studies, Vol. 33, pp. 431-451, 1990. [14] G. J. Hwang, "Knowledge elicitation and integration from multiple experts," Journal of Information Science and Engineering, vol. 10, no. 1, pp. 99-109, Mar., 1994. [15]. A. K. Jain and R. C. Dubes, Algorithms for clustering data, Prentice-Hall Inc., pp. 58-89, 1988. [16] M. Kamber, L. Winstone, W. Gong, S. Cheng, J. Han, "Generalization and decision tree induction: efficient classification in data mining," Database Systems Research Laboratory. School of Computing Science. Simon Fraser University, B.C., Canada V5A 1S6. [17]. R. L. Kennedy, Y. Lee, B. V. Roy, C. D.Reed, Dr. R. P. Lippmann, Solving Data Mining Problems through Pattern Recognition, Section 8.2. [18] J. P. Yoon and L. Kerschberg, "A framework for knowledge discovery and evolution in databases," IEEE Tran. Knowledge and Data Engineering, Vol. 5, No.6, pp. 973-979, Dec., 1993.
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