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» A genetic programming approach to business process mining
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GECCO
2005
Springer
151views Optimization» more  GECCO 2005»
14 years 1 months ago
Backward-chaining genetic programming
Tournament selection is the most frequently used form of selection in genetic programming (GP). Tournament selection chooses individuals uniformly at random from the population. A...
Riccardo Poli, William B. Langdon
ICSE
2009
IEEE-ACM
14 years 8 months ago
Automatically finding patches using genetic programming
Automatic repair of programs has been a longstanding goal in software engineering, yet debugging remains a largely manual process. We introduce a fully automated method for locati...
Westley Weimer, ThanhVu Nguyen, Claire Le Goues, S...
CCS
2006
ACM
13 years 11 months ago
RoleMiner: mining roles using subset enumeration
Role engineering, the task of defining roles and associating permissions to them, is essential to realize the full benefits of the role-based access control paradigm. Essentially,...
Jaideep Vaidya, Vijayalakshmi Atluri, Janice Warne...
JCST
2008
114views more  JCST 2008»
13 years 7 months ago
Synthesizing Service Composition Models on the Basis of Temporal Business Rules
Transformational approaches to generating design and implementation models from requirements can bring effectiveness and quality to software development. In this paper we present a...
Jian Yu, Yanbo Han, Jun Han, Yan Jin, Paolo Falcar...
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
14 years 2 months ago
A developmental model of neural computation using cartesian genetic programming
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
Gul Muhammad Khan, Julian F. Miller, David M. Hall...