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KDD
2006
ACM
122views Data Mining» more  KDD 2006»
15 years 10 months ago
Outlier detection by active learning
Naoki Abe, Bianca Zadrozny, John Langford
KDD
2000
ACM
116views Data Mining» more  KDD 2000»
15 years 1 months ago
Learning Feature Weights from User Behavior in Content-Based Image Retrieval
Henning Müller, Wolfgang Müller 0002, Da...
HICSS
2005
IEEE
117views Biometrics» more  HICSS 2005»
15 years 3 months ago
Movie Review Mining: a Comparison between Supervised and Unsupervised Classification Approaches
Web content mining is intended to help people discover valuable information from large amount of unstructured data on the web. Movie review mining classifies movie reviews into tw...
Pimwadee Chaovalit, Lina Zhou
ICML
2010
IEEE
14 years 7 months ago
Mining Clustering Dimensions
Many real-world datasets can be clustered along multiple dimensions. For example, text documents can be clustered not only by topic, but also by the author's gender or sentim...
Sajib Dasgupta, Vincent Ng
KDD
2004
ACM
114views Data Mining» more  KDD 2004»
15 years 10 months ago
Mining reference tables for automatic text segmentation
Automatically segmenting unstructured text strings into structured records is necessary for importing the information contained in legacy sources and text collections into a data ...
Eugene Agichtein, Venkatesh Ganti