Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-Centric Systems and Applications)

★★★★★ 4.4 32 reviews

US$6.22
Price when purchased online
Free shipping Free 30-day returns

Sold and shipped by dev.p3000.net
We aim to show you accurate product information. Manufacturers, suppliers and others provide what you see here.
US$6.22
Price when purchased online
Free shipping Free 30-day returns

How do you want your item?
You get 30 days free! Choose a plan at checkout.
Shipping
Arrives Jun 28
Free
Pickup
Check nearby
Delivery
Not available

Sold and shipped by dev.p3000.net
Free 30-day returns Details

Product details

Management number 231651417 Release Date 2026/06/18 List Price US$6.22 Model Number 231651417
Category

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. Read more

ISBN10 3540378812
ISBN13 978-3540378815
Edition 1st ed. 2007. Corr. 2nd printing
Language English
Publisher Springer
Dimensions 6.25 x 1.5 x 9.25 inches
Item Weight 2.1 pounds
Print length 552 pages
Publication date January 21, 2009

Correction of product information

If you notice any omissions or errors in the product information on this page, please use the correction request form below.

Correction Request Form

Customer ratings & reviews

4.4 out of 5
★★★★★
32 ratings | 13 reviews
How item rating is calculated
View all reviews
5 stars
81% (26)
4 stars
5% (2)
3 stars
2% (1)
2 stars
1% (0)
1 star
11% (4)
Sort by

There are currently no written reviews for this product.