18种数据挖掘算法

Classification(分类)
#1. C4.5
Quinlan, J. R. 1993. C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers Inc.
Google Scholar Count in October 2006: 6907
#2. CART
L. Breiman, J. Friedman, R. Olshen, and C. Stone. Classification and Regression Trees. Wadsworth, Belmont, CA, 1984.
Google Scholar Count in October 2006: 6078
#3. K Nearest Neighbours (kNN)
Hastie, T. and Tibshirani, R. 1996. Discriminant Adaptive Nearest Neighbor Classification. IEEE Trans. Pattern Anal. Mach. Intell. (TPAMI). 18, 6 (Jun. 1996), 607-616.
Google SCholar Count: 183
#4. Naive Bayes
Hand, D.J., Yu, K., 2001. Idiot's Bayes: Not So Stupid After All? Internat. Statist. Rev. 69, 385-398.
Google Scholar Count in October 2006: 51

Statistical Learning(统计学习)
#5. SVM
Vapnik, V. N. 1995. The Nature of Statistical Learning Theory. Springer-Verlag New York, Inc.
Google Scholar Count in October 2006: 6441
#6. EM
McLachlan, G. and Peel, D. (2000). Finite Mixture Models.
J. Wiley, New York.
Google Scholar Count in October 2006: 848

Association Analysis(关联分析)
#7. Apriori
Rakesh Agrawal and Ramakrishnan Srikant. Fast Algorithms for Mining Association Rules. In Proc. of the 20th Int'l Conference on Very Large Databases (VLDB '94), Santiago, Chile, September 1994.
Google Scholar Count in October 2006: 3639
#8. FP-Tree
Han, J., Pei, J., and Yin, Y. 2000. Mining frequent patterns without candidate generation. In Proceedings of the 2000 ACM SIGMOD international Conference on Management of Data (Dallas, Texas, United States, May 15 - 18, 2000). SIGMOD '00. ACM Press, New York, NY, 1-12.
Google Scholar Count in October 2006: 1258

Link Mining(链接挖掘)
#9. PageRank
Brin, S. and Page, L. 1998. The anatomy of a large-scale hypertextual Web search engine. In Proceedings of the Seventh international Conference on World Wide Web (WWW-7) (Brisbane, Australia). P. H. Enslow and A. Ellis, Eds. Elsevier Science Publishers B. V., Amsterdam, The Netherlands, 107-117.
Google Shcolar Count: 2558
#10. HITS
Kleinberg, J. M. 1998. Authoritative sources in a hyperlinked environment. In Proceedings of the Ninth Annual ACM-SIAM Symposium on Discrete Algorithms (San Francisco, California, United States, January 25 - 27, 1998). Symposium on Discrete Algorithms. Society for Industrial and Applied Mathematics, Philadelphia, PA, 668-677.
Google Shcolar Count: 2240

Clustering(聚类)
#11. K-Means
MacQueen, J. B., Some methods for classification and analysis of multivariate observations, in Proc. 5th Berkeley Symp. Mathematical Statistics and Probability, 1967, pp. 281-297.
Google Scholar Count in October 2006: 1579
#12. BIRCH
Zhang, T., Ramakrishnan, R., and Livny, M. 1996. BIRCH: an efficient data clustering method for very large databases. In Proceedings of the 1996 ACM SIGMOD international Conference on Management of Data (Montreal, Quebec, Canada, June 04 - 06, 1996). J.

Widom, Ed. SIGMOD '96. ACM Press, New York, NY, 103-114.
Google Sch
olar Count in October 2006: 853

Bagging and Boosting(袋装与推进)
#13. AdaBoost
Freund, Y. and Schapire, R. E. 1997. A decision-theoretic generalization of on-line learning and an application to boosting. J. Comput. Syst. Sci. 55, 1 (Aug. 1997), 119-139.
Google Scholar Count in October 2006: 1576

Sequential Patterns(序列模式)
#14. GSP
Srikant, R. and Agrawal, R. 1996. Mining Sequential Patterns: Generalizations and Performance Improvements. In Proceedings of the 5th international Conference on Extending Database Technology: Advances in Database Technology (March 25 - 29, 1996). P. M. Apers, M. Bouzeghoub, and G. Gardarin, Eds. Lecture Notes In Computer Science, vol. 1057. Springer-Verlag, London, 3-17.
Google Scholar Count in October 2006: 596
#15. PrefixSpan
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. In Proceedings of the 17th international Conference on Data Engineering (April 02 - 06, 2001). ICDE '01. IEEE Computer Society, Washington, DC.
Google Scholar Count in October 2006: 248

Integrated Mining(集成挖掘)
#16. CBA
Liu, B., Hsu, W. and Ma, Y. M. Integrating classification and association rule mining. KDD-98, 1998, pp. 80-86.
Google Scholar Count in October 2006: 436

Rough Sets(粗糙集)
#17. Finding reduct
Zdzislaw Pawlak, Rough Sets: Theoretical Aspects of Reasoning aboutData, Kluwer Academic Publishers, Norwell, MA, 1992
Google Scholar Count in October 2006: 329

Graph Mining(图挖掘)
#18. gSpan