Web Data Mining : Exploring Hyperlinks, Contents, and Usage Data, 2/e (Hardcover)

Bing Liu

  • 出版商: Springer
  • 出版日期: 2011-06-26
  • 售價: $2,800
  • 貴賓價: 9.5$2,660
  • 語言: 英文
  • 頁數: 624
  • 裝訂: Hardcover
  • ISBN: 3642194591
  • ISBN-13: 9783642194597
  • 相關分類: Perl 程式語言Data-mining
  • 立即出貨

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商品描述

Web mining aims to discover useful information and knowledge from Web hyperlinks, page contents, and usage data. Although Web mining uses many conventional data mining techniques, it is not purely an application of traditional data mining due to the semi-structured and unstructured nature of the Web data. The field has also developed many of its own algorithms and techniques. 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.

商品描述(中文翻譯)

Web mining旨在從Web超鏈接、頁面內容和使用數據中發現有用的信息和知識。儘管Web mining使用了許多傳統的數據挖掘技術,但由於Web數據的半結構化和非結構化特性,它並不純粹是傳統數據挖掘的應用。該領域還發展了許多自己的算法和技術。Liu撰寫了一本關於Web mining的綜合性著作,分為兩部分。第一部分涵蓋了數據挖掘和機器學習的基礎知識,介紹了所有必要的概念和算法。第二部分涵蓋了Web mining的關鍵主題,包括Web爬蟲、搜索、社交網絡分析、結構化數據提取、信息集成、意見挖掘和情感分析、Web使用數據挖掘、查詢日誌挖掘、計算廣告和推薦系統,深入廣泛地介紹了這些主題。這本書將所有相關的概念和算法結合在一起,形成了一本權威而有條理的著作。該書結合了理論和實踐,適合作為學習教材和參考書的學生、研究人員和從業人員。教授們可以輕松地用它來教授數據挖掘、Web mining和文本挖掘等課程。在線上還提供了額外的教學資料,如講義、數據集和實現的算法。