Germany

License single eBooks

Your results

Advanced search

Search and filter

Free text

Search across titles, authors, ISBNs, and more

ISBNs

Copy and paste up to 1000 ISBNs separated by comma(,), space (‘ ‘), or line break

You've reached the limit of 1000 ISBN numbers

Subjects

SN’s own taxonomy

Search for subjects

No results found. Try again with another term.

0 selected out of 0 items

Show All Selected

Download list (.CSV)

View Cart

Web Data Mining

Exploring Hyperlinks, Contents, and Usage Data

Bing Liu

978-3-642-19460-3

2011
Edition 2
- 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
- Includes supplementary material: sn.pub/extras
€419

Help library users learn, on good terms

License single eBooks to give your patrons unlimited Springer Nature Link access to the eBooks they need, with clear and generous terms for the library.