Top 10 algorithms in data mining
X. Wu, V. Kumar, J. Quinlan, J. Ghosh, Q. Yang, H. Motoda, G. McLachlan, A. Ng, B. Liu, P. Yu, Z. Zhou, M. Steinbach, D. Hand, und D. Steinberg.
Knowledge and Information Systems 14 (1): 1--37 (Januar 2008)

This paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. These top 10 algorithms are among the most influential data mining algorithms in the research community.With each algorithm, we provide a description of the algorithm, discuss the impact of the algorithm, and review current andfurther research on the algorithm. These 10 algorithms cover classification, clustering, statistical learning, associationanalysis, and link mining, which are all among the most important topics in data mining research and development.

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http://dx.doi.org/10.1007/s10115-007-0114-2

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@article{wu2008wu,
  abstract = {This paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM)
in December 2006: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. These top 10 algorithms are among the most influential data mining algorithms in the research community.With each algorithm, we provide a description of the algorithm, discuss the impact of the algorithm, and review current andfurther research on the algorithm. These 10 algorithms cover classification, clustering, statistical learning, associationanalysis, and link mining, which are all among the most important topics in data mining research and development.},
  added-at = {2008-01-18T11:04:39.000+0100},
  address = {London},
  author = {Wu, Xindong and Kumar, Vipin and Quinlan, J. Ross and Ghosh, Joydeep and Yang, Qiang and Motoda, Hiroshi and McLachlan, Geoffrey and Ng, Angus and Liu, Bing and Yu, Philip and Zhou, Zhi-Hua and Steinbach, Michael and Hand, David and Steinberg, Dan},
  biburl = {https://puma.uni-kassel.de/bibtex/22c34bb4b49187a6d3e780e78d254ae1f/jaeschke},
  interhash = {76fd294a34cf85638f6e194a85af8db9},
  intrahash = {2c34bb4b49187a6d3e780e78d254ae1f},
  issn = {0219-1377},
  journal = {Knowledge and Information Systems},
  keywords = {algorithm data icdm ieee mining top},
  month = Jan,
  number = 1,
  pages = {1--37},
  publisher = {Springer},
  timestamp = {2008-01-18T11:04:39.000+0100},
  title = {Top 10 algorithms in data mining},
  url = {http://dx.doi.org/10.1007/s10115-007-0114-2},
  volume = 14,
  year = 2008
}

%0 Journal Article
%1 wu2008wu
%A Wu, Xindong
%A Kumar, Vipin
%A Quinlan, J. Ross
%A Ghosh, Joydeep
%A Yang, Qiang
%A Motoda, Hiroshi
%A McLachlan, Geoffrey
%A Ng, Angus
%A Liu, Bing
%A Yu, Philip
%A Zhou, Zhi-Hua
%A Steinbach, Michael
%A Hand, David
%A Steinberg, Dan
%C London
%D 2008
%I Springer
%J Knowledge and Information Systems
%K algorithm data icdm ieee mining top
%N 1
%P 1--37
%T Top 10 algorithms in data mining
%U http://dx.doi.org/10.1007/s10115-007-0114-2
%V 14
%X This paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM)
in December 2006: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. These top 10 algorithms are among the most influential data mining algorithms in the research community.With each algorithm, we provide a description of the algorithm, discuss the impact of the algorithm, and review current andfurther research on the algorithm. These 10 algorithms cover classification, clustering, statistical learning, associationanalysis, and link mining, which are all among the most important topics in data mining research and development.

PUMA

Top 10 algorithms in data mining
X. Wu, V. Kumar, J. Quinlan, J. Ghosh, Q. Yang, H. Motoda, G. McLachlan, A. Ng, B. Liu, P. Yu, Z. Zhou, M. Steinbach, D. Hand, und D. Steinberg.
Knowledge and Information Systems 14 (1): 1--37 (Januar 2008)

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PUMA

Top 10 algorithms in data miningX. Wu, V. Kumar, J. Quinlan, J. Ghosh, Q. Yang, H. Motoda, G. McLachlan, A. Ng, B. Liu, P. Yu, Z. Zhou, M. Steinbach, D. Hand, und D. Steinberg. Knowledge and Information Systems 14 (1): 1--37 (Januar 2008)

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Top 10 algorithms in data mining
X. Wu, V. Kumar, J. Quinlan, J. Ghosh, Q. Yang, H. Motoda, G. McLachlan, A. Ng, B. Liu, P. Yu, Z. Zhou, M. Steinbach, D. Hand, und D. Steinberg.
Knowledge and Information Systems 14 (1): 1--37 (Januar 2008)