Web content mining for market intelligence acquiring from B2C websites

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

Volumn 4256 LNCS, Issue , 2006, Pages 159-170

  Ai, Danxiang ^a   Zhang, Yufeng ^a   Zuo, Hui ^a   Wang, Quan ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Market intelligence acquiring; Web content mining

Indexed keywords

ARTIFICIAL INTELLIGENCE; CAMERAS; DATA WAREHOUSES; DECISION MAKING; INFORMATION TECHNOLOGY; INTERNET;

DIGITAL CAMERA; MARKET INTELLIGENCE ACQUIRING; WEB CONTENT MINING;

DATA MINING;

EID: 33845254818     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11906070_16     Document Type: Conference Paper

References (11)

1. Mehmed Kantardzic: Data Mining: Concepts, Models, Methods, and Algorithms. John Wiley & Sons (2003)
2. Soumen Chakrabarti: Mining the Web: Analysis of Hypertext and Semi Structured Data. Morgan Kaufmann (2003)
3. Dorian Pyle: Data Preparation for Data Mining. Morgan Kaufmann, San Francisco, CA (1999)
4. Daniel Larose: Data Mining Methods and Models, Wiley-Interscience, Hoboken, NJ (2005)
5. Zhang,Yufeng: Intelligent information systems. Wuhan University press, Wuhan (1991)
6. Tianhao Wu, &William M. Pottenger: A Semi-supervised Algorithm for Pattern Discovery in Information Extraction from Textual Data. The seventh Pacific-Asia conference on Knowledge Discovery and Data Mining (PAKDD) (2003)
7. B. Berendt, &M. Spiliopoulou: Analyzing navigation behavior in web sites integrating multiple information systems. The VLDB Journal, Vol. 9, No. 1 (2000) 56-75
8. G. Chang. et.al.: Mining the World Wide Web. An Information Search Approach. Kluwer Academic Publishers, Boston (2001)
9. M. Craven, et.al.: Learning to construct knowledge bases from the world wide web. Artificial Intelligence, Vol. 118, No. 1-2 (2000) 69-113
10. H. Kato, T. Nakayama, &Y. Yamane: Navigation analysis tool based on the correlation between contents distribution and access patterns. In Working Notes of the Workshop on Web Mining for E-Commerce- Challenges and Opportunities (WebKDD 2000) at the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Boston, MA (2000) 95-104
11. M. E. Califf, &R. J. Mooney: Relational learning of pattern-match rules for information extraction. In Proceedings of the 16th National Conference on Artificial Intelligence (AAAI-99) (1999) 328-334