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ORCIDFoundations of Computational Intelligence, Volume 4, 2009
- Ajith Abraham, Aboul Ella Hassanien, André Carlos Ponce de Leon Ferreira de Carvalho
:
Foundations of Computational Intelligence - Volume 4: Bio-Inspired Data Mining. Studies in Computational Intelligence 204, Springer 2009, ISBN 978-3-642-01087-3
Bio-Inspired Approaches in Sequence and Data Streams
- Neal Wagner, Zbigniew Michalewicz:
Adaptive and Self-adaptive Techniques for Evolutionary Forecasting Applications Set in Dynamic and Uncertain Environments. 3-21 - Huiyu Zhou, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa:
Sequence Pattern Mining. 23-48 - Toby Smith, Damminda Alahakoon:
Growing Self-Organizing Map for Online Continuous Clustering. 49-83 - Ana L. T. Romano, Wilfredo Jaime Puma Villanueva, Marcelo Serrano Zanetti, Fernando J. Von Zuben:
Synthesis of Spatio-temporal Models by the Evolution of Non-uniform Cellular Automata. 85-104
Bio-Inspired Approaches in Classification Problem
- Marcel Jirina, Marcel Jirina Jr.:
Genetic Selection Algorithm and Cloning for Data Mining with GMDH Method. 107-125 - Vahab Akbarzadeh, Alireza Sadeghian, Marcus V. dos Santos:
Inducing Relational Fuzzy Classification Rules by Means of Cooperative Coevolution. 127-147 - Ulf Johansson, Rikard König, Tuve Löfström, Cecilia Sönströd, Lars Niklasson:
Post-processing Evolved Decision Trees. 149-164
Evolutionary Fuzzy and Swarm in Clustering Problems
- Danilo Horta, Murilo Coelho Naldi, Ricardo José Gabrielli Barreto Campello, Eduardo R. Hruschka, André Carlos Ponce de Leon Ferreira de Carvalho:
Evolutionary Fuzzy Clustering: An Overview and Efficiency Issues. 167-195 - Abbas Ahmadi, Fakhri Karray, Mohamed S. Kamel:
Stability-Based Model Order Selection for Clustering Using Multiple Cooperative Particle Swarms. 197-218
Genetic and Evolutionary Algorithms in Bioinformatics
- Matej Lexa, Václav Snásel, Ivan Zelinka:
Data-Mining Protein Structure by Clustering, Segmentation and Evolutionary Algorithms. 221-248 - José Juan Tapia, Enrique Morett, Edgar E. Vallejo:
A Clustering Genetic Algorithm for Genomic Data Mining. 249-275 - Gérard Ramstein, Nicolas Beaume, Yannick Jacques:
Detection of Remote Protein Homologs Using Social Programming. 277-296
Bio-Inspired Approaches in Information Retrieval and Visualization
- Václav Snásel, Ajith Abraham, Suhail S. J. Owais, Jan Platos, Pavel Krömer:
Optimizing Information Retrieval Using Evolutionary Algorithms and Fuzzy Inference System. 299-324 - Dusan Húsek, Jaroslav Pokorný, Hana Rezanková, Václav Snásel:
Web Data Clustering. 325-353 - Ukrit Watchareeruetai, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi:
Efficient Construction of Image Feature Extraction Programs by Using Linear Genetic Programming with Fitness Retrieval and Intermediate-Result Caching. 355-375 - Álvaro Herrero, Emilio Corchado:
Mining Network Traffic Data for Attacks through MOVICAB-IDS. 377-394
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