The Top Ten Algorithms in Data Mining

丛 书 名：Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

版本说明：1

作     者：Xindong Wu Vipin Kumar 

I S B N：(纸本) 9781420089646 

出 版 社：Chapman and Hall/CRC 

出 版 年：2009年

主 题 词：Data mining Computer algorithms 

学科分类：12[管理学] 02[经济学] 07[理学] 08[工学] 0810[工学-信息与通信工程] 0202[经济学-应用经济学] 020208[经济学-统计学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081203[工学-计算机应用技术] 080401[工学-精密仪器及机械] 020201[经济学-国民经济学] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0835[工学-软件工程] 0714[理学-统计学（可授理学、经济学学位）] 081002[工学-信号与信息处理] 0812[工学-计算机科学与技术（可授工学、理学学位）] 081202[工学-计算机软件与理论] 

摘      要：The Best-Known Algorithms Currently Used in the Data Mining CommunityContributions from recognized leaders in the fieldIdentifying 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 *** 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 *** 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.