The Top Ten Algorithms in Data Mining
Hardback or Cased Book 230 pages Apr 01, 2009
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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.
- Author:
- Xindong Wu
- Publisher:
- CRC Press
- Publication Date:
- Apr 01, 2009
- Number of pages:
- 230 pages
- Binding:
- Hardback or Cased Book
- ISBN-10:
- 1420089641
- ISBN-13:
- 9781420089646