Top 10 algorithms in data mining

Xindong Wu; Xindong Wu; Vipin Kumar; Vipin Kumar; J Ross Quinlan; J Ross Quinlan; Joydeep Ghosh; Joydeep Ghosh; Qiang Yang; Qiang Yang; Hiroshi Motoda; Hiroshi Motoda; Geoffrey J McLachlan; Geoffrey J McLachlan; Angus Ng; Angus Ng; Bing Liu; Bing Liu; Philip S Yu; Philip S Yu; Zhi-Hua Zhou; Zhi-Hua Zhou; Michael Steinbach; Michael Steinbach; David J Hand; David J Hand; Dan Steinberg; Dan Steinberg

Journal Article

Top 10 algorithms in data mining

Wu X
Wu X
Kumar V
et al.

Knowledge and Information Systems (2007) 14(1) 1-37

N/ACitations

23Readers

Abstract

Abstract This paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (1CDM) in December 2006: C4. 5, ír-Means, SVM, Apriori, EM, PageRank, AdaBoost,/cNN, Naive Bayes, and CART. These top 10 algorithms ...

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APA

Wu, X., Wu, X., Kumar, V., Kumar, V., Ross Quinlan, J., Ross Quinlan, J., … Steinberg, D. (2007). Top 10 algorithms in data mining. Knowledge and Information Systems, 14(1), 1–37. Retrieved from http://www.springerlink.com/index/10.1007/s10115-007-0114-2%5Cnpapers3://publication/doi/10.1007/s10115-007-0114-2

Top 10 algorithms in data mining

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