The characteristic analysis of web user clusters based on frequent browsing patterns

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4488 LNCS, Issue PART 2, 2007, Pages 490-493

  Zhang, Zhiwang ^a   Shi, Yong ^a  

^a UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Clustering; FSP; WUM

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPETITIVE INTELLIGENCE; MARKETING; WEB SERVICES;

CUSTOMER RELATIONSHIP MANAGEMENT (CRM); FREQUENT SEQUENCE PATTERNS (FSP); WEB USAGE MINING (WUM);

DATA MINING;

EID: 38049108412     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-72586-2_71     Document Type: Conference Paper

References (2)

1. Margaret H. Dunham, Data Mining Introductory and Advanced topics, Prentice Hall (2003) 206-218.
2. Ajith Abraham, Business Intelligence from Web Usage Mining, Journal of Information & Knowledge Management, Vol. 2, No. 4 (2003) 375-390.