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KDD
2002
ACM
126views Data Mining» more  KDD 2002»
16 years 8 days ago
Integrating feature and instance selection for text classification
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
Dimitris Fragoudis, Dimitris Meretakis, Spiros Lik...
ICDM
2002
IEEE
191views Data Mining» more  ICDM 2002»
15 years 4 months ago
Iterative Clustering of High Dimensional Text Data Augmented by Local Search
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
Inderjit S. Dhillon, Yuqiang Guan, J. Kogan
WSDM
2010
ACM
203views Data Mining» more  WSDM 2010»
15 years 9 months ago
Query Reformulation Using Anchor Text
Query reformulation techniques based on query logs have been studied as a method of capturing user intent and improving retrieval effectiveness. The evaluation of these techniques...
Van Dang, Bruce W. Croft
KDD
2006
ACM
118views Data Mining» more  KDD 2006»
16 years 9 days ago
Reducing the human overhead in text categorization
Many applications in text processing require significant human effort for either labeling large document collections (when learning statistical models) or extrapolating rules from...
Arnd Christian König, Eric Brill
WWW
2005
ACM
16 years 17 days ago
Analyzing online discussion for marketing intelligence
We present a system that gathers and analyzes online discussion as it relates to consumer products. Weblogs and online message boards provide forums that record the voice of the p...
Natalie S. Glance, Matthew Hurst, Kamal Nigam, Mat...