PUMA publications for /author/Michael%20Steinbach/mining%20datahttps://puma.uni-kassel.de/author/Michael%20Steinbach/mining%20dataPUMA RSS feed for /author/Michael%20Steinbach/mining%20data2024-03-29T10:18:53+01:00Top 10 algorithms in data mininghttps://puma.uni-kassel.de/bibtex/22c34bb4b49187a6d3e780e78d254ae1f/jaeschkejaeschke2008-01-18T11:04:39+01:00algorithm ieee icdm top data mining <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Xindong Wu" itemprop="url" href="/author/Xindong%20Wu"><span itemprop="name">X. Wu</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Vipin Kumar" itemprop="url" href="/author/Vipin%20Kumar"><span itemprop="name">V. Kumar</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="J. Ross Quinlan" itemprop="url" href="/author/J.%20Ross%20Quinlan"><span itemprop="name">J. Quinlan</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Joydeep Ghosh" itemprop="url" href="/author/Joydeep%20Ghosh"><span itemprop="name">J. Ghosh</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Qiang Yang" itemprop="url" href="/author/Qiang%20Yang"><span itemprop="name">Q. Yang</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Hiroshi Motoda" itemprop="url" href="/author/Hiroshi%20Motoda"><span itemprop="name">H. Motoda</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Geoffrey McLachlan" itemprop="url" href="/author/Geoffrey%20McLachlan"><span itemprop="name">G. McLachlan</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Angus Ng" itemprop="url" href="/author/Angus%20Ng"><span itemprop="name">A. Ng</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Bing Liu" itemprop="url" href="/author/Bing%20Liu"><span itemprop="name">B. Liu</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Philip Yu" itemprop="url" href="/author/Philip%20Yu"><span itemprop="name">P. Yu</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Zhi-Hua Zhou" itemprop="url" href="/author/Zhi-Hua%20Zhou"><span itemprop="name">Z. Zhou</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Michael Steinbach" itemprop="url" href="/author/Michael%20Steinbach"><span itemprop="name">M. Steinbach</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="David Hand" itemprop="url" href="/author/David%20Hand"><span itemprop="name">D. Hand</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Dan Steinberg" itemprop="url" href="/author/Dan%20Steinberg"><span itemprop="name">D. Steinberg</span></a></span>. </span><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><span itemtype="http://schema.org/Periodical" itemscope="itemscope" itemprop="isPartOf"><span itemprop="name"><em>Knowledge and Information Systems</em></span></span> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">14 </span></span>(<span itemprop="issueNumber">1</span>):
<span itemprop="pagination">1--37</span></em> </span>(<em><span>Januar 2008<meta content="Januar 2008" itemprop="datePublished"/></span></em>)Fri Jan 18 11:04:39 CET 2008LondonKnowledge and Information SystemsJan11--37Top 10 algorithms in data mining142008algorithm ieee icdm top 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, 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.