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dc.contributor.authorWu, Xindong
dc.contributor.authorKumar, Vipin
dc.contributor.authorQuinlan, J Ross
dc.contributor.authorGhosh, Joydeep
dc.contributor.authorYang, Qiang
dc.contributor.authorMotoda, Hiroshi
dc.contributor.authorMcLachlan, Geoffrey J
dc.contributor.authorNg, Angus
dc.contributor.authorLiu, Bing
dc.contributor.authorYu, Philip S
dc.contributor.authorZhou, Zhi-Hua
dc.contributor.authorSteinbach, Michael
dc.contributor.authorHand, David J
dc.contributor.authorSteinberg, Dan
dc.date.accessioned2017-05-03T15:26:19Z
dc.date.available2017-05-03T15:26:19Z
dc.date.issued2008
dc.date.modified2010-08-30T07:02:41Z
dc.identifier.issn0219-1377
dc.identifier.doi10.1007/s10115-007-0114-2
dc.identifier.urihttp://hdl.handle.net/10072/21183
dc.description.abstractThis 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.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherSpringer
dc.publisher.placeLondon
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom1
dc.relation.ispartofpageto37
dc.relation.ispartofissue1
dc.relation.ispartofjournalKnowledge and Information Systems
dc.relation.ispartofvolume14
dc.rights.retentionY
dc.subject.fieldofresearchArtificial Intelligence and Image Processing
dc.subject.fieldofresearchInformation Systems
dc.subject.fieldofresearchcode0801
dc.subject.fieldofresearchcode0806
dc.titleTop 10 algorithms in data mining
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.date.issued2008
gro.hasfulltextNo Full Text
gro.griffith.authorNg, Shu Kay Angus
gro.griffith.authorWu, Xindong


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