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CIB
2002
100views more  CIB 2002»
15 years 4 months ago
Web-log Mining for Quantitative Temporal-Event Prediction
The web log data embed much of web users' browsing behavior. From the web logs, one can discover patterns that predict the users' future requests based on their current b...
Qiang Yang, Hui Wang, Wei Zhang
ECAI
2000
Springer
15 years 8 months ago
Gaining Insights into Web Customers using Web Intelligence
The web is fast maturing into an important marketing medium that provides businesses with the ability to undertake oneto-one marketing and provide personalised services to their cu...
Sarabjot S. Anand, Matthias Baumgarten, Alex G. B&...
AI
2005
Springer
15 years 6 months ago
Integrating Web Content Clustering into Web Log Association Rule Mining
Abstract. One of the effects of the general Internet growth is an immense number of user accesses to WWW resources. These accesses are recorded in the web server log files, which...
Jiayun Guo, Vlado Keselj, Qigang Gao
KDD
2002
ACM
170views Data Mining» more  KDD 2002»
16 years 4 months ago
Web site mining: a new way to spot competitors, customers and suppliers in the world wide web
When automatically extracting information from the world wide web, most established methods focus on spotting single HTMLdocuments. However, the problem of spotting complete web s...
Martin Ester, Hans-Peter Kriegel, Matthias Schuber...
WSDM
2009
ACM
176views Data Mining» more  WSDM 2009»
15 years 11 months ago
The web changes everything: understanding the dynamics of web content
The Web is a dynamic, ever changing collection of information. This paper explores changes in Web content by analyzing a crawl of 55,000 Web pages, selected to represent different...
Eytan Adar, Jaime Teevan, Susan T. Dumais, Jonatha...