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ICDM
2003
IEEE
134views Data Mining» more  ICDM 2003»
15 years 9 months ago
Probabilistic User Behavior Models
We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
Eren Manavoglu, Dmitry Pavlov, C. Lee Giles
ACL
2009
15 years 2 months ago
Mining Bilingual Data from the Web with Adaptively Learnt Patterns
Mining bilingual data (including bilingual sentences and terms1 ) from the Web can benefit many NLP applications, such as machine translation and cross language information retrie...
Long Jiang, Shiquan Yang, Ming Zhou, Xiaohua Liu, ...
KDD
2003
ACM
148views Data Mining» more  KDD 2003»
16 years 4 months ago
Mining data records in Web pages
A large amount of information on the Web is contained in regularly structured objects, which we call data records. Such data records are important because they often present the e...
Bing Liu, Robert L. Grossman, Yanhong Zhai
WEBNET
2000
15 years 5 months ago
Mining the Most Interesting Web Access Associations
: Web access patterns can provide valuable information for website designers in making website-based communication more efficient. To extract interesting or useful web access patte...
Li Shen, Ling Cheng, James Ford, Fillia Makedon, V...
KDD
2002
ACM
173views Data Mining» more  KDD 2002»
16 years 4 months ago
LumberJack: Intelligent Discovery and Analysis of Web User Traffic Composition
Web Usage Mining enables new understanding of user goals on the Web. This understanding has broad applications, and traditional mining techniques such as association rules have bee...
Ed Huai-hsin Chi, Adam Rosien, Jeffrey Heer