Identifying 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 wri

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Yes, you can access The Top Ten Algorithms in Data Mining by Xindong Wu, Vipin Kumar, Xindong Wu, Vipin Kumar in PDF and/or ePUB format, as well as other popular books in Volkswirtschaftslehre & Statistik für Volks- & Betriebswirtschaft. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Chapman and Hall/CRC

Year

2009

ISBN

9781420089653

Edition

Topic

Volkswirtschaftslehre

Subtopic

Statistik für Volks- & Betriebswirtschaft

Cover
Title
Copyright
Contents
Preface
Acknowledgments
About the Authors
Contributors
Chapter 1: C4.5
Chapter 2: K-Means
Chapter 3: SVM: Support Vector Machines
Chapter 4: Apriori
Chapter 5: EM
Chapter 6: PageRank
Chapter 7: AdaBoost
Chapter 8: kNN: k-Nearest Neighbors
Chapter 9: Naive Bayes
Chapter 10: CART: Classification and Regression Trees
Index