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Contrast set learning
Contrast set learning is a form of association rule learning that seeks to identify meaningful differences between separate groups by reverse…
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Related topics
Related topics
5 relations
Algorithm
Association rule learning
Statistical classification
Tree traversal
Broader (1)
Data mining
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Review
2015
Review
2015
Data Mining and SE
T. Menzies
,
Ekrem Kocaguneli
,
Leandro L. Minku
,
Fayola Peters
,
Burak Turhan
ACM/IEEE International Conference on Model Driven…
2015
Corpus ID: 63401013
Review
2015
Review
2015
Chapter 8 – Defect Prediction
T. Menzies
ACM/IEEE International Conference on Model Driven…
2015
Corpus ID: 60258213
Review
2015
Review
2015
Chapter 9 – Effort Estimation
ACM/IEEE International Conference on Model Driven…
2015
Corpus ID: 60289340
Review
2015
Review
2015
Data Mining (Under The Hood)
T. Menzies
,
Ekrem Kocaguneli
,
Leandro L. Minku
,
Fayola Peters
,
Burak Turhan
ACM/IEEE International Conference on Model Driven…
2015
Corpus ID: 59990124
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