The Top Ten Algorithms in Data Mining (Repost)
Xindong Wu, Vipin Kumar "The Top Ten Algorithms in Data Mining"
Chapman & Hall/CRC | English | 2009-04-09 | ISBN: 1420089641 | 208 pages | PDF | 5,3 MB
Chapman & Hall/CRC | English | 2009-04-09 | ISBN: 1420089641 | 208 pages | PDF | 5,3 MB
Identifying some of the most influential algorithms that are widely used in the data mining community, this volume provides a description of each algorithm, discusses the impact of the algorithms, and reviews current and future research on the algorithms. Thoroughly evaluated by independent reviewers, each chapter focuses on a particular algorithm and is written by either the original authors of the algorithm or world-class researchers who have extensively studied the respective algorithm. The book concentrates on the following important algorithms: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART.