Top 10 algorithms in data mining
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, k NN, Naive Bayes, and CART. These top 10 algorithms are among the most influential data mining algorith...
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| Published in | Knowledge and information systems Vol. 14; no. 1; pp. 1 - 37 |
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| Main Authors | , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
London
Springer-Verlag
01.01.2008
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0219-1377 0219-3116 |
| DOI | 10.1007/s10115-007-0114-2 |
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| 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,
k
NN, 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 and further research on the algorithm. These 10 algorithms cover classification, clustering, statistical learning, association analysis, and link mining, which are all among the most important topics in data mining research and development. |
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| AbstractList | 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 and further research on the algorithm. These 10 algorithms cover classification, clustering, statistical learning, association analysis, and link mining, which are all among the most important topics in data mining research and development. [PUBLICATION 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, k NN, 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 and further research on the algorithm. These 10 algorithms cover classification, clustering, statistical learning, association analysis, and link mining, which are all among the most important topics in data mining research and development. |
| Author | Motoda, Hiroshi McLachlan, Geoffrey J. Yu, Philip S. Ghosh, Joydeep Yang, Qiang Ng, Angus Wu, Xindong Hand, David J. Liu, Bing Steinbach, Michael Steinberg, Dan Ross Quinlan, J. Kumar, Vipin Zhou, Zhi-Hua |
| Author_xml | – sequence: 1 givenname: Xindong surname: Wu fullname: Wu, Xindong email: xwu@cs.uvm.edu organization: Department of computer Science, University of Vermont – sequence: 2 givenname: Vipin surname: Kumar fullname: Kumar, Vipin organization: Department of Computer Science and Engineering, University of Minnesota – sequence: 3 givenname: J. surname: Ross Quinlan fullname: Ross Quinlan, J. organization: Rulequest Research Pty Ltd – sequence: 4 givenname: Joydeep surname: Ghosh fullname: Ghosh, Joydeep organization: Department of Electrical and Computer Engineering, University of Texas at Austin – sequence: 5 givenname: Qiang surname: Yang fullname: Yang, Qiang organization: Department of Computer Science, Hong Kong University of Science and Technology – sequence: 6 givenname: Hiroshi surname: Motoda fullname: Motoda, Hiroshi organization: AFOSR/AOARD and Osaka University – sequence: 7 givenname: Geoffrey J. surname: McLachlan fullname: McLachlan, Geoffrey J. organization: Department of Mathematics, The University of Queensland – sequence: 8 givenname: Angus surname: Ng fullname: Ng, Angus organization: School of Medicine, Griffith University – sequence: 9 givenname: Bing surname: Liu fullname: Liu, Bing organization: Department of Computer Science, University of Illinois at Chicago – sequence: 10 givenname: Philip S. surname: Yu fullname: Yu, Philip S. organization: IBM T. J. Watson Research Center – sequence: 11 givenname: Zhi-Hua surname: Zhou fullname: Zhou, Zhi-Hua organization: National Key Laboratory for Novel Software Technology, Nanjing University – sequence: 12 givenname: Michael surname: Steinbach fullname: Steinbach, Michael organization: Department of Computer Science and Engineering, University of Minnesota – sequence: 13 givenname: David J. surname: Hand fullname: Hand, David J. organization: Department of Mathematics, Imperial College – sequence: 14 givenname: Dan surname: Steinberg fullname: Steinberg, Dan organization: Salford Systems |
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| Snippet | 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,... 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,... |
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| SubjectTerms | Algorithms Computer engineering Computer Science Data mining Data Mining and Knowledge Discovery Database Management Decision trees Information Storage and Retrieval Information Systems and Communication Service Information Systems Applications (incl.Internet) International conferences IT in Business Nominations R&D Ratings & rankings Research & development Survey Paper |
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| Title | Top 10 algorithms in data mining |
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