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» A genetic programming approach to business process mining
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SOCA
2008
IEEE
13 years 7 months ago
Log-based mining techniques applied to Web service composition reengineering
There is no doubt that SOA and BPM will continue to evolve dependently for the next ten years. Preparing common research infrastructures will require most important efforts of web ...
Walid Gaaloul, Karim Baïna, Claude Godart
ECOOPW
1999
Springer
14 years 4 days ago
Aspect-Oriented Process Engineering
This paper describes a novel application for Aspect-Oriented Programming (AOP). By combining the concepts of Business Process Management and AOP, we present an approach for enabli...
Simon G. Thompson, Brian Odgers
GECCO
2010
Springer
338views Optimization» more  GECCO 2010»
13 years 6 months ago
Multiobjective evolutionary community detection for dynamic networks
A multiobjective genetic algorithm for detecting communities in dynamic networks, i.e., networks that evolve over time, is proposed. The approach leverages on the concept of evolu...
Francesco Folino, Clara Pizzuti
AUSDM
2006
Springer
157views Data Mining» more  AUSDM 2006»
13 years 11 months ago
Safely Delegating Data Mining Tasks
Data mining is playing an important role in decision making for business activities and governmental administration. Since many organizations or their divisions do not possess the...
Ling Qiu, Kok-Leong Ong, Siu Man Lui
EUROGP
2007
Springer
145views Optimization» more  EUROGP 2007»
13 years 11 months ago
GP Classifier Problem Decomposition Using First-Price and Second-Price Auctions
This work details an auction-based model for problem decomposition in Genetic Programming classification. The approach builds on the population-based methodology of Genetic Progra...
Peter Lichodzijewski, Malcolm I. Heywood