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

• Main Author: Liu, Bing (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
• Series: Data-Centric Systems and Applications
• Subjects: Computer science.; Data structures (Computer science).; Data mining.; Information storage and retrieval.; Artificial intelligence.; Pattern recognition.; Statistics.; Computer Science.; Data Structures, Cryptology and Information Theory.; Information Storage and Retrieval.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Data Mining and Knowledge Discovery.; Pattern Recognition.; Artificial Intelligence (incl. Robotics).

The rapid growth of the Web in the last decade makes it the largest p- licly accessible data source in the world. Web mining aims to discover u- ful information or knowledge from Web hyperlinks, page contents, and - age logs. Based on the primary kinds of data used in the mining process, Web mining...

Table of Contents:

• Data Mining Foundations
• Association Rules and Sequential Patterns
• Supervised Learning
• Unsupervised Learning
• Partially Supervised Learning
• Web Mining
• Information Retrieval and Web Search
• Link Analysis
• Web Crawling
• Structured Data Extraction: Wrapper Generation
• Information Integration
• Opinion Mining
• Web Usage Mining.