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133
Voted
KDD
2008
ACM
195views Data Mining» more  KDD 2008»
16 years 3 months ago
Learning from multi-topic web documents for contextual advertisement
Contextual advertising on web pages has become very popular recently and it poses its own set of unique text mining challenges. Often advertisers wish to either target (or avoid) ...
Yi Zhang, Arun C. Surendran, John C. Platt, Mukund...
137
Voted
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
16 years 3 months ago
Practical learning from one-sided feedback
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...
D. Sculley
KDD
2006
ACM
118views Data Mining» more  KDD 2006»
16 years 3 months ago
Maximum profit mining and its application in software development
While most software defects (i.e., bugs) are corrected and tested as part of the lengthy software development cycle, enterprise software vendors often have to release software pro...
Charles X. Ling, Victor S. Sheng, Tilmann F. W. Br...
130
Voted
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
16 years 3 months ago
Efficient closed pattern mining in the presence of tough block constraints
In recent years, various constrained frequent pattern mining problem formulations and associated algorithms have been developed that enable the user to specify various itemsetbase...
Krishna Gade, Jianyong Wang, George Karypis
137
Voted
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
16 years 3 months ago
Support envelopes: a technique for exploring the structure of association patterns
This paper introduces support envelopes--a new tool for analyzing association patterns--and illustrates some of their properties, applications, and possible extensions. Specifical...
Michael Steinbach, Pang-Ning Tan, Vipin Kumar
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