| 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.Includes major algorithms from data mining, machine learning, information ret | | 丛书名称 | Data-Centric Systems and Applications | | 图书封面 |  | | 描述 | .Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning foundations, where all the essential concepts and algorithms of data mining and machine learning are presented. The second part covers the key topics of Web mining, where Web crawling, search, social network analysis, structured data extraction, information integration, opinion mining and sentiment analysis, Web usage mining, query log mining, computational advertising, and recommender systems are all treated both in breadth and in depth. His book thus brings all the related concepts and algorithms together to form an authoritative and coherent text. .The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in Web mining and data mining both as a learning text and as a reference book. Professors can readily use it for classes on data mining, Web mining, and text mining. Additional teaching materials such as lecture slides, datasets, and implemented algorithms are available online. . | | 出版日期 | Textbook 2011Latest edition | | 关键词 | Information Integration; Information Retrieval; Machine Learning; Opinion Mining; Pattern Mining; Recomme | | 版次 | 2 | | doi | https://doi.org/10.1007/978-3-642-19460-3 | | isbn_softcover | 978-3-642-26891-5 | | isbn_ebook | 978-3-642-19460-3Series ISSN 2197-9723 Series E-ISSN 2197-974X | | issn_series | 2197-9723 | | copyright | Springer-Verlag GmbH Germany, part of Springer Nature 2011 |
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发表于 2025-3-21 19:01:02
