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KDD
2002
ACM
170views Data Mining» more  KDD 2002»
14 years 8 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...
KDD
2001
ACM
231views Data Mining» more  KDD 2001»
14 years 7 months ago
A Framework for Efficient and Anonymous Web Usage Mining Based on Client-Side Tracking
Web Usage Mining (WUM), a natural application of data mining techniques to the data collected from user interactions with the web, has greatly concerned both academia and industry ...
Cyrus Shahabi, Farnoush Banaei Kashani
WSDM
2009
ACM
163views Data Mining» more  WSDM 2009»
14 years 2 months ago
Tagging with Queries: How and Why?
Web search queries capture the information need of search engine users. Search engines store these queries in their logs and analyze them to guide their search results. In this wo...
Ioannis Antonellis, Hector Garcia-Molina, Jawed Ka...
SIGKDD
2008
124views more  SIGKDD 2008»
13 years 7 months ago
WebKDD 2008: 10 years of knowledge discovery on the web post-workshop report
WebKDD was held in conjunction with the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2008), August 24, 2008, in Henderson/Las Vegas, Nevada...
Olfa Nasraoui, Myra Spiliopoulou, Osmar R. Zaï...
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 8 months ago
Using retrieval measures to assess similarity in mining dynamic web clickstreams
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
Olfa Nasraoui, Cesar Cardona, Carlos Rojas