The Top Ten Algorithms in Data Mining

作者：XindongWu/VipinKumar

出版社：ChapmanandHall/CRC

出版年：2009-4-9

页数：232

定价：USD82.95

装帧：Hardcover

ISBN：9781420089646

内容简介
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The Best-Known Algorithms Currently Used in the Data Mining Community

Contributions from recognized leaders in the field

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.

The 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.

By 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.

评论 ······

Data Mining 快速进阶

论文集罢了

读过其中的几章，写的比较浅显易懂。具体算法很好的入门书。

5年之后回头看，江山哪曾变一分。

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