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» Constraint Programming for Data Mining and Machine Learning
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SIAMCOMP
2000
109views more  SIAMCOMP 2000»
15 years 1 months ago
Dual-Bounded Generating Problems: Partial and Multiple Transversals of a Hypergraph
Abstract. We consider two natural generalizations of the notion of transversal to a finite hypergraph, arising in data-mining and machine learning, the so called multiple and parti...
Endre Boros, Vladimir Gurvich, Leonid Khachiyan, K...
ICSM
2008
IEEE
15 years 8 months ago
Automated severity assessment of software defect reports
In mission critical systems, such as those developed by NASA, it is very important that the test engineers properly recognize the severity of each issue they identify during testi...
Tim Menzies, Andrian Marcus
PKDD
2005
Springer
125views Data Mining» more  PKDD 2005»
15 years 7 months ago
A Propositional Approach to Textual Case Indexing
Abstract. Problem solving with experiences that are recorded in text form requires a mapping from text to structured cases, so that case comparison can provide informed feedback fo...
Nirmalie Wiratunga, Robert Lothian, Sutanu Chakrab...
RSFDGRC
2005
Springer
190views Data Mining» more  RSFDGRC 2005»
15 years 7 months ago
Finding Rough Set Reducts with SAT
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
Richard Jensen, Qiang Shen, Andrew Tuson
GECCO
2006
Springer
173views Optimization» more  GECCO 2006»
15 years 5 months ago
Sets of receiver operating characteristic curves and their use in the evaluation of multi-class classification
Within the last two decades, Receiver Operating Characteristic (ROC) Curves have become a standard tool for the analysis and comparison of classifiers since they provide a conveni...
Stephan M. Winkler, Michael Affenzeller, Stefan Wa...