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CP
2009
Springer
16 years 7 months ago
Filtering Numerical CSPs Using Well-Constrained Subsystems
When interval methods handle systems of equations over the reals, two main types of filtering/contraction algorithms are used to reduce the search space. When the system is well-co...
Ignacio Araya, Gilles Trombettoni, Bertrand Neveu
SIGCSE
2009
ACM
130views Education» more  SIGCSE 2009»
16 years 7 months ago
Introducing PyLighter: dynamic code highlighter
Like a screenplay, a program is both a static artifact and instructions for a dynamic performance. This duality can keep laypeople from appreciating the complexity of software sys...
Michael G. Boland, Curtis C. Cliburn
KDD
2009
ACM
202views Data Mining» more  KDD 2009»
16 years 7 months ago
Correlated itemset mining in ROC space: a constraint programming approach
Correlated or discriminative pattern mining is concerned with finding the highest scoring patterns w.r.t. a correlation measure (such as information gain). By reinterpreting corre...
Siegfried Nijssen, Tias Guns, Luc De Raedt
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
16 years 7 months ago
Stochastic processes and temporal data mining
This article tries to give an answer to a fundamental question in temporal data mining: "Under what conditions a temporal rule extracted from up-to-date temporal data keeps i...
Paul Cotofrei, Kilian Stoffel
KDD
2006
ACM
228views Data Mining» more  KDD 2006»
16 years 7 months ago
Algorithms for time series knowledge mining
Temporal patterns composed of symbolic intervals are commonly formulated with Allen's interval relations originating in temporal reasoning. This representation has severe dis...
Fabian Mörchen
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