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KDD
2007
ACM
179views Data Mining» more  KDD 2007»
16 years 15 days ago
Mining statistically important equivalence classes and delta-discriminative emerging patterns
The support-confidence framework is the most common measure used in itemset mining algorithms, for its antimonotonicity that effectively simplifies the search lattice. This com...
Jinyan Li, Guimei Liu, Limsoon Wong
ICSM
2009
IEEE
15 years 4 months ago
Decomposing object-oriented class modules using an agglomerative clustering technique
Software can be considered a live entity, as it undergoes many alterations throughout its lifecycle. Furthermore, developers do not usually retain a good design in favor of adding...
Marios Fokaefs, Nikolaos Tsantalis, Alexander Chat...
KDD
2009
ACM
163views Data Mining» more  KDD 2009»
16 years 7 months ago
Large-scale graph mining using backbone refinement classes
We present a new approach to large-scale graph mining based on so-called backbone refinement classes. The method efficiently mines tree-shaped subgraph descriptors under minimum f...
Andreas Maunz, Christoph Helma, Stefan Kramer
ASM
2003
ASM
15 years 11 months ago
A Framework for Proving Contract-Equipped Classes
r in: Abstract State Machines 2003 — Advances in Theory and Applications, Proc. 10th International Workshop, Taormina, Italy, March 3-7, 2003, eds. Egon Boerger, Angelo Gargantin...
Bertrand Meyer
AAAI
2006
15 years 7 months ago
On Multi-Class Cost-Sensitive Learning
Rescaling is possibly the most popular approach to cost-sensitive learning. This approach works by rescaling the classes according to their costs, and it can be realized in differ...
Zhi-Hua Zhou, Xu-Ying Liu