Enhancing the scalability of a genetic algorithm to discover quantitative association rules in large-scale datasets-Reference-Cited by-同舟云学术

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Enhancing the scalability of a genetic algorithm to discover quantitative association rules in large-scale datasets

Published:2015-01-01 Issue:1 Volume:22 Page:21-39
ISSN:1875-8835
Container-title:Integrated Computer-Aided Engineering
language:
Short-container-title:ICA

Author:

Martínez-Ballesteros María¹,Bacardit Jaume²,Troncoso Alicia³,Riquelme José C.¹

Affiliation:

1. Department of Computer Science, ETS Ingeniería Informática, University of Seville, Seville, Spain

2. The Interdisciplinary Computing and Complex BioSystems Research Group, School of Computing Science, Newcastle University, Newcastle-upon-Tyne, UK

3. Department of Computer Engineering, Polytechnic School, Pablo de Olavide University, Seville, Spain

Publisher

IOS Press

Subject

Artificial Intelligence,Computational Theory and Mathematics,Computer Science Applications,Theoretical Computer Science,Software

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