Transforming user data into user value by novel mining techniques for extraction of web content, structure and usage patterns. The Development and Evaluation of New Web Mining Methods that enhance Information Retrieval and improve the Understanding of User¿s Web Behavior in Websites and Social Blogs.

Transforming user data into user value by novel mining techniques for extraction of web content, structure and usage patterns. The Development and Evaluation of New Web Mining Methods that enhance Information Retrieval and improve the Understanding of User¿s Web Behavior in Websites and Social Blogs.

The rapid growth of the World Wide Web in the last decade makes it the largest publicly accessible data source in the world, which has become one of the most significant and influential information revolution of modern times. The influence of the Web has impacted almost every aspect of humans'...

Full description

Bibliographic Details
Main Author: Ammari, Ahmad N.
Other Authors: Zharkova, Valentina V.
Language:en
Published: University of Bradford 2011
Subjects:
World Wide Web
User data
Textual content
Relevancy
Web mining
Supervised classification model
Social web concepts
Hyperlink recommendation
Blogs
Self-Organizing Maps
Classification
Clustering
Usage patterns
Online Access:http://hdl.handle.net/10454/5269

Internet

http://hdl.handle.net/10454/5269

Similar Items