The Top Ten Algorithms in Data Mining

By Xindong Wu

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.

• Format: Hardcover
• Language: English
• ISBN: 1420089641
• ISBN13: 9781420089646
• Release Date: April 2009
• Publisher: CRC Press
• Length: 230 Pages
• Weight: 1.15 lbs.
• Dimensions: 0.7" x 6.4" x 9.3"