| 书目名称 | Web Data Mining | | 副标题 | Exploring Hyperlinks | | 编辑 | Bing Liu | | 视频video | | | 概述 | Covers all key tasks and techniques of Web search and Web mining, i.e., structure mining, content mining, and usage mining.First book with such a comprehensive coverage.Includes major algorithms from | | 丛书名称 | Data-Centric Systems and Applications | | 图书封面 |  | | 描述 | The rapid growth of the Web in the last decade makes it the largest p- licly accessible data source in the world. 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. The book is intended to be a text with a comprehensive cov- age, and yet, for each topic, sufficient details are given so that readers can gain a reasonably complete knowledge of its algorithms or techniques without referring to any external materials. Four of the chapters, structured data extraction, information integration, opinion mining, and Web usage mining, make this book unique. These topics are not covered by exi | | 出版日期 | Textbook 20071st edition | | 关键词 | Perl; Web Crawling; Web Data Mining; algorithms; data mining; learning; machine learning; web mining | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-540-37882-2 | | isbn_ebook | 978-3-540-37882-2Series ISSN 2197-9723 Series E-ISSN 2197-974X | | issn_series | 2197-9723 | | copyright | Springer-Verlag Berlin Heidelberg 2007 |
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发表于 2025-3-21 18:16:51
