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" A. Silberschatz and A. Tuzhilin. What makes patterns interesting in Knowledge discovery systems. "
Grouping Multidimensional Data: Recent Advances in Clustering - Page 260
by Jacob Kogan, Charles Nicholas - 2006 - 268 pages
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Specification Case Studies in RAISE

Hung Dang Van - 2002 - 452 pages
...Conference on Knowledge Discovery and Data Mining, pages 275-281, Montreal, Canada, August, 1995 11. A. Silberschatz and A. Tuzhilin. What makes patterns...Transactions on Knowledge and Data Engineering, 8(6):970-974, December, 1996. 12. H. Toivonen, M. Klemettinen, P. Ronkainen, K. Hatonen and H. Mannila. Pruning and...
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Specification Case Studies in RAISE

Hung Dang Van - 2002 - 452 pages
...Conference on Knowledge Discovery and Data Mining, pages 275-281, Montreal, Canada, August, 1995 11. A. Silberschatz and A. Tuzhilin. What makes patterns...IEEE Transactions on Knowledge and Data Engineering, 8(6):970,974, December, 1996. 12. H. Toivonen, M. Klemettinen, P. Ronkainen, K. Hatonen and H. Mannila....
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Temporal Databases: Research and Practice

Opher Etzion - 1998 - 456 pages
...International Conference on Knowledge Discovery and Data Mining, Montreal, Canada, August 1995. 24. A. Silberschatz and A. Tuzhilin. What makes patterns...IEEE Transactions on Knowledge and Data Engineering, 8(6). December 1996. 25. R. Srikant and R. Agrawal. Mining sequential patterns: Generalizations and...
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Computational Intelligence for Decision Support

Zhengxin Chen - 1999 - 408 pages
...Intelligent Data Analysis (IDA '97), LNCS 1280, pp. 459-463, 1997. Silberschatz, A. and Tuzhilin, A., What makes patterns interesting in knowledge discovery...IEEE Transactions on Knowledge and Data Engineering, 8(6), 970-974, 1996. Simon, HA, Why should machines learn? In RS Michalski, JG Carbonell and TM Mitchell...
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Handbook of Massive Data Sets

James Abello, Panos M. Pardalos, Mauricio G.C. Resende - 2002 - 1244 pages
...Machine Learning Workshop, pages 496—501, Philadelphia, PA, 1986. A. Silbershatz and A. Tuzhi!in. What makes patterns interesting in knowledge discovery...IEEE Transactions on Knowledge and Data Engineering, 8(6), 1996. R. Snikant and R. Agrawal. Mining Sequential Patterns: Generalizations and Performance...
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Advances in Web-Age Information Management: 4th International Conference ...

Guozhu Dong, Chanjie Tang - 2003 - 525 pages
...time of thirty-three old and new classification algorithms. Machine Learning, 40:203-228, 2000. 15. A. Silberschatz and A. Tuzhilin. What makes patterns...Knowledge and Data Engineering, 8(6):970974, 1996. 16. X. Zhang, G. Dong, and K.Ramamohanarao. Exploring constraints to efficiently mine emerging patterns...
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Information and Communications Security: 5th International ..., Volume 5

Sihan Qing, Dieter Gollmann - 2003 - 427 pages
...Intrusion Detection Based on SVM. Journal of Software 2002, 14(4), 798-803 12. Chatz,.A. and Tuzhilin.A. What Makes Patterns Interesting in Knowledge Discovery...IEEE Transactions on Knowledge and Data Engineering, 1996.6, 970-974 13. Vapnik, V. The Nature of Statistical Learning Theory. New York, NY: Springer-Verlag,...
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Practical Aspects of Knowledge Management: 4th International Conference ...

Dimitris Karagiannis, Ulrich Reimer - 2007 - 653 pages
...Applications, Prentice Hall of India Private Limited, New Delhi (1997) [8] Silberschatz, A., Tuzhilin, A.: What makes Patterns Interesting in Knowledge Discovery...IEEE Transactions on Knowledge and Data Engineering, Vol. 8, No. 6, (1996) 970-974 [9] Srikant, R., Agrawal, R.: Mining Generalized Association Rules, In...
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Data Mining: Multimedia, Soft Computing, and Bioinformatics

Sushmita Mitra, Tinku Acharya - 2005 - 423 pages
...Mining: Concepts and Techniques. San Diego: Academic Press, 2001. 10. A. Silberschatz and A. Tuzhilm, "What makes patterns interesting in knowledge discovery...IEEE Transactions on Knowledge and Data Engineering, vol. 8, pp. 970-974, 1996. 11. CC Aggarwal and PS Yu, "A new approach to online generation of association...
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Pattern Recognition Algorithms for Data Mining

Sankar K. Pal, Pabitra Mitra - 2004 - 280 pages
...incremental modification of classification rules. Computational Intelligence, 11:357-370, 1995. [257] A. Silberschatz and A. Tuzhilin. What makes patterns interesting in knowledge discovery systems. IEEE Trans. Knowledge and Data Engineering, 8:970-974, 1996. [258] D. Skalak. Prototype and feature selection...
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