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» Data Mining for Genetics: A Genetic Algorithm Approach
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GECCO
2008
Springer
115views Optimization» more  GECCO 2008»
13 years 6 months ago
A genetic programming approach to business process mining
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...
Chris J. Turner, Ashutosh Tiwari, Jörn Mehnen
IJISTA
2008
95views more  IJISTA 2008»
13 years 5 months ago
Mining manufacturing data using genetic algorithm-based feature set decomposition
Data mining methods can be used for discovering interesting patterns in manufacturing databases. These patterns can be used to improve manufacturing processes. However, data accum...
Lior Rokach
GECCO
2010
Springer
338views Optimization» more  GECCO 2010»
13 years 3 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
VLSID
1996
IEEE
133views VLSI» more  VLSID 1996»
13 years 9 months ago
Allocation and Binding in Data Path Synthesis Using a Genetic Algorithm Approach
A technique for allocatzon and binding for data path synthesis (DPS) using a Genetic Algorithm (GA) approach has been developed. The proposed genetic algorithm uses a non-conventi...
Chittaranjan A. Mandal, P. P. Chakrabarti, Sujoy G...
ASPDAC
1999
ACM
157views Hardware» more  ASPDAC 1999»
13 years 9 months ago
A Genetic Algorithm based Approach for Multi-Objective Data-Flow Graph Optimization
: This paper presents a genetic algorithm based approach for algebraic optimization of behavioral system specifications. We introduce a chromosomal representation of data-flow gr...
Birger Landwehr