Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data

by Bing Liu

This book provides a comprehensive text on Web data mining. Key topics of structure mining, content mining, and usage mining are covered. The book brings together all the essential concepts and algorithms from related areas such as data mining, machine learning, and text processing 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. Lecturers can readily use it for classes on data mining, Web mining, and Web search. Internet support with lecture slides and project problems is available online.

Genres: Programming

552 pages, Kindle Edition

First published August 1, 2006

Reviews

[Ivana Grujić · Rating 5 out of 5]

Zanimljiviji deo prilično teške knjige Web mining: "People have six primary emotions, i.e., love, joy, surprise, anger, sadness, and fear."

[Somkiat Chatchuenyot]

A relative one for web mining

[Oldrich]

Amazing book. Showed me that many things I was doing manually is possible to automate.

[Oldrich · Rating 4 out of 5]

Amazing book. Showed me that many things I was doing manually is possible to automate.