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» Data generation using declarative constraints
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ALENEX
2003
137views Algorithms» more  ALENEX 2003»
13 years 9 months ago
The Markov Chain Simulation Method for Generating Connected Power Law Random Graphs
Graph models for real-world complex networks such as the Internet, the WWW and biological networks are necessary for analytic and simulation-based studies of network protocols, al...
Christos Gkantsidis, Milena Mihail, Ellen W. Zegur...
SDM
2007
SIAM
147views Data Mining» more  SDM 2007»
13 years 9 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
CORR
2010
Springer
173views Education» more  CORR 2010»
13 years 5 months ago
Mining Multi-Level Frequent Itemsets under Constraints
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
Mohamed Salah Gouider, Amine Farhat
IPPS
2003
IEEE
14 years 28 days ago
Global Communication Optimization for Tensor Contraction Expressions under Memory Constraints
The accurate modeling of the electronic structure of atoms and molecules involves computationally intensive tensor contractions involving large multi-dimensional arrays. The effi...
Daniel Cociorva, Xiaoyang Gao, Sandhya Krishnan, G...
IJCAI
2007
13 years 9 months ago
Automated Benchmark Model Generators for Model-Based Diagnostic Inference
This article proposes a Diagnosis Interchange Format (DIF), an XML-based interchange format for Model-Based Diagnosis (MBD). Its main purposes are to allow sharing of diagnostic m...
Gregory M. Provan, Jun Wang