Description: Top Ten Algorithms in Data Mining, Hardcover by Wu, Xindong (EDT); Kumar, Vipin (EDT), ISBN 1420089641, ISBN-13 9781420089646, Brand New, Free shipping in the US The ten algorithms explained in this graduate textbook were presented at the 2006 IEEE International Conference on Data Mining held in Hong Kong. After describing how the algorithm works, each chapter discusses software implementations, provides a couple examples on datasets, and explores extensions. The ten algorithms are , K-means, SVM, Apriori, EM, PageRank, AdaBoost, k-nearest neighbors, naive Bayes, and classification and regression trees. Wu chairs the computer science department at the University of Vermont and Kumar heads the corresponding department at Minnesota. Annotation ©2009 Book News, Inc., Portland, OR ()
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Book Title: Top Ten Algorithms in Data Mining
Number of Pages: 232 Pages
Publication Name: Top Ten Algorithms in Data Mining
Language: English
Publisher: CRC Press LLC
Item Height: 0.6 in
Subject: Programming / Algorithms, Databases / Data Mining, Statistics
Publication Year: 2009
Type: Textbook
Item Weight: 16 Oz
Subject Area: Computers, Business & Economics
Item Length: 9.6 in
Author: Xindong Wu, Vipin Kumar
Series: Chapman and Hall/Crc Data Mining and Knowledge Discovery Ser.
Item Width: 6.5 in
Format: Hardcover
