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KDD
2006
ACM
179views Data Mining» more  KDD 2006»
16 years 7 months ago
Extracting key-substring-group features for text classification
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
Dell Zhang, Wee Sun Lee
KDD
2005
ACM
170views Data Mining» more  KDD 2005»
16 years 7 months ago
Parallel mining of closed sequential patterns
Discovery of sequential patterns is an essential data mining task with broad applications. Among several variations of sequential patterns, closed sequential pattern is the most u...
Shengnan Cong, Jiawei Han, David A. Padua
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 7 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
KDD
2004
ACM
192views Data Mining» more  KDD 2004»
16 years 7 months ago
Mining and summarizing customer reviews
Merchants selling products on the Web often ask their customers to review the products that they have purchased and the associated services. As e-commerce is becoming more and mor...
Minqing Hu, Bing Liu
KDD
2004
ACM
164views Data Mining» more  KDD 2004»
16 years 7 months ago
Discovering complex matchings across web query interfaces: a correlation mining approach
To enable information integration, schema matching is a critical step for discovering semantic correspondences of attributes across heterogeneous sources. While complex matchings ...
Bin He, Kevin Chen-Chuan Chang, Jiawei Han
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