The Top Ten Algorithms in Data Mining (Chapman , Kumar, Wu..

CRC Press

The Top Ten Algorithms in Data MiningAuthor(s): Xindong Wu, Vipin Kumar\nFormat: Hardback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: Chapman & Hall/CRC\nISBN-13: 9781420089646, 978-1420089646\nSynopsis\nIdentifying some of the most influential algorithms that are widely used in the data mining community, The Top Ten Algorithms in Data Mining provides a description of each algorithm, discusses its impact, and reviews current and future research. 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.\n\nThe book concentrates on the following important algorithms: [url] k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. Examples illustrate how each algorithm works and highlight its overall performance in a real-world application. The text covers key topicsinc.