The Top Ten Algorithms in Data Mining pdf epub mobi txt 电子书 下载 2024


The Top Ten Algorithms in Data Mining

简体网页||繁体网页
Xindong Wu
Chapman and Hall/CRC
2009-4-9
232
USD 82.95
Hardcover
9781420089646

图书标签: 数据挖掘  算法  机器学习  Algorithms  计算机  DM  美国  理工   


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发表于2024-12-23

The Top Ten Algorithms in Data Mining epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

The Top Ten Algorithms in Data Mining epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

The Top Ten Algorithms in Data Mining pdf epub mobi txt 电子书 下载 2024



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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.

The Top Ten Algorithms in Data Mining 下载 mobi epub pdf txt 电子书

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