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» Genetic Process Mining: A Basic Approach and Its Challenges
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KDD
2002
ACM
112views Data Mining» more  KDD 2002»
15 years 9 months ago
From run-time behavior to usage scenarios: an interaction-pattern mining approach
A key challenge facing IT organizations today is their evolution towards adopting e-business practices that gives rise to the need for reengineering their underlying software syst...
Mohammad El-Ramly, Eleni Stroulia, Paul G. Sorenso...
ICANN
2009
Springer
15 years 4 months ago
Adaptive Feature Transformation for Image Data from Non-stationary Processes
Abstract. This paper introduces the application of the feature transformation approach proposed by Torkkola [1] to the domain of image processing. Thereto, we extended the approach...
Erik Schaffernicht, Volker Stephan, Horst-Michael ...
EMO
2006
Springer
161views Optimization» more  EMO 2006»
15 years 1 months ago
Design Issues in a Multiobjective Cellular Genetic Algorithm
In this paper we study a number of issues related to the design of a cellular genetic algorithm (cGA) for multiobjective optimization. We take as an starting point an algorithm fol...
Antonio J. Nebro, Juan José Durillo, Franci...
GECCO
2006
Springer
186views Optimization» more  GECCO 2006»
15 years 1 months ago
Genetic algorithms for action set selection across domains: a demonstration
Action set selection in Markov Decision Processes (MDPs) is an area of research that has received little attention. On the other hand, the set of actions available to an MDP agent...
Greg Lee, Vadim Bulitko
WIS
2004
14 years 10 months ago
A Wireless Data Stream Mining Model
The sensor networks, web click stream and astronomical applications generate a continuous flow of data streams. Most likely data streams are generated in a wireless environment. Th...
Mohamed Medhat Gaber, Shonali Krishnaswamy, Arkady...