Book Details

Web Data Mining

Publication year: 2007

ISBN: 978-3-540-37882-2

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Web mining aims to discover u- ful information or knowledge from Web hyperlinks, page contents, and - age logs. Based on the primary kinds of data used in the mining process, Web mining tasks can be categorized into three main types: Web structure mining, Web content mining and Web usage mining. Web structure m- ing discovers knowledge from hyperlinks, which represent the structure of the Web. Web content mining extracts useful information/knowledge from Web page contents. Web usage mining mines user access patterns from usage logs, which record clicks made by every user. The goal of this book is to present these tasks, and their core mining - gorithms. Traditional Web mining topics such as search, crawling and resource discovery, and link analysis are also covered in detail in this book.


Subject: Computer Science, Perl, Web Crawling, Web Data Mining, algorithms, data mining, learning, machine learning, web mining