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Liu

Web Data Mining

Exploring Hyperlinks, Contents, and Usage Data
2013. Buch. xx, 624 S.: Bibliographien. Softcover
Springer ISBN 978-3-642-26891-5
Format (B x L): 15,5 x 23,5 cm
Gewicht: 973 g
In englischer Sprache
Das Werk ist Teil der Reihe:
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.

Audience

Graduate

Versandkostenfrei
lieferbar ca. 10 Tage als Sonderdruck ohne Rückgaberecht
53,45 €
inkl. MwSt.
Webcode: beck-shop.de/bcnzmw
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 retrieval and text processing, which are crucial for many Web mining tasks Contains a rich blend of theory and practice, addressing seminal research ideas and also looking at the technology from a practical point of view Second edition includes new/revised sections on supervised learning, opinion mining and sentiment analysis, recommender systems and collaborative filtering, and query log mining Ideally suited for classes on data mining, Web mining, Web search, and knowledge discovery in data bases Provides internet support with lecture slides and project problems