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The Top Ten Algorithms in Data Mining

The Top Ten Algorithms in Data Mining

Essential Research Book for The Top Ten Algorithms in Data Mining

Author(s) Name:  Xindong Wu, Vipin Kumar

About the Book:

   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.

ISBN:  9781420089646

Publisher:  Taylor & Francis

Year of Publication:  2009

Book Link:  Home Page Url