The Top Ten Algorithms in Data Mining (Chapman Hall/CRC Data Mining and Knowledge Discovery Series) e book prices

Book Description:

Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Hardcover: 232 pages
Publisher: Chapman and Hall/CRC; 1 edition (April 9, 2009)
Language: English
ISBN-10: 1420089641
ISBN-13: 978-1420089646
Product Dimensions:
0.5 x 6.2 x 9.5 inches
Shipping Weight: 15.5 ounces (View shipping rates and policies)
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Book Details:

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 written by either the original authors of the algorithm or world-class researchers who have extensively studied the respective algorithm.
corporateThe book concentrates on the following important algorithms: C4.5, 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 topics—including classification, clustering, statistical learning, association analysis, and link mining—in data mining research and development as well as in data mining, machine learning, and artificial intelligence courses.
Book stores fundamentals of corporate governance: a guide for directors and corporate counselBy naming the leading algorithms in this field, this book encourages the use of data mining techniques in a broader realm of real-world applications. It should inspire more data mining researchers to further explore the impact and novel research issues of these algorithms.

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