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» Discovering Constraints for Inductive Process Modeling
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SARA
2007
Springer
15 years 3 months ago
Generating Implied Boolean Constraints Via Singleton Consistency
Though there exist some rules of thumb for design of good models for solving constraint satisfaction problems, the modeling process still belongs more to art than to science. Moreo...
Roman Barták
IJCNLP
2005
Springer
15 years 2 months ago
Inversion Transduction Grammar Constraints for Mining Parallel Sentences from Quasi-Comparable Corpora
Abstract. We present a new implication of Wu’s (1997) Inversion Transduction Grammar (ITG) Hypothesis, on the problem of retrieving truly parallel sentence translations from larg...
Dekai Wu, Pascale Fung
100
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SDM
2007
SIAM
147views Data Mining» more  SDM 2007»
14 years 11 months ago
Constraint-Based Pattern Set Mining
Local pattern mining algorithms generate sets of patterns, which are typically not directly useful and have to be further processed before actual application or interpretation. Ra...
Luc De Raedt, Albrecht Zimmermann
AI
2008
Springer
14 years 9 months ago
Generalised arc consistency for the AllDifferent constraint: An empirical survey
The AllDifferent constraint is a crucial component of any constraint toolkit, language or solver, since it is very widely used in a variety of constraint models. The literature con...
Ian P. Gent, Ian Miguel, Peter Nightingale
CINQ
2004
Springer
225views Database» more  CINQ 2004»
15 years 2 months ago
A Data Mining Query Language for Knowledge Discovery in a Geographical Information System
Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...
Donato Malerba, Annalisa Appice, Michelangelo Ceci