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It seems as though most of the data mining information online is written by Ph.Ds for other Ph.Ds. Earlier on, I published a simple article on ''What, Why, Where of Data Mining'' and it had an excellent reception. Thank you. Here is a next drill down on top data mining algorithms which seems to get lot of attention and google search volume.

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These algorithms are implemented through various programming like R language, Python and using data mining tools to derive the optimized data models. Some of the popular data mining algorithms are C4.5 for decision trees, Kmeans for cluster data analysis, Naive Bayes Algorithm, Support Vector Mechanism Algorithms, The Apriori algorithm for

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Top 10 algorithms in data mining with R. Wu et al. describe top 10 algorithms in data mining in (LDO) "Top 10 algorithms in data mining" (2007). How to use these algorithms in R is shown here. The datasets used are available in R itself, no need to download anything. Run data() to see the available datasets. Nothing is original here

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This paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006: C4.5, kMeans, 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

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Top 10 Algorithms in Data Mining Xindong Wu, Vipin Kumar, J. Ross Quinlan, Joydeep Ghosh, Qiang Yang, Hiroshi Motoda, Geoffrey J. McLachlan, Angus Ng, Bing Liu, Philip S. Yu, ZhiHuaZhou, Michael Steinbach, David J. Hand, Dan Steinberg October 8, 2007 Abstract This paper presents the top 10 data mining algorithms identiﬁed by the IEEE

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This paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006: C4.5, kMeans, 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

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CiteSeerX Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): 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, kMeans, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. These top 10 algorithms are among the most influential data mining algorithms in

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the ICDM ''06 panel on Top 10 Algorithms in Data Mining. At the ICDM ''06 panel of December 21, 2006, we also took an open vote with all 145 attendees on the top 10 algorithms from the above 18algorithm candidate list, and the top 10 algorithms from this open vote were the same as the voting results from the above third step.

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