Foundations of Computational Intelligence : Volume 4: Bio-Inspired Data Mining - Abraham, Ajith; Hassanien, Aboul-Ella.; Carvalho, André Ponce de Leon F. de.; SpringerLink (Online service) (Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009)
Bio-Inspired Approaches in Sequence and Data Streams -- Adaptive and Self-adaptive Techniques for Evolutionary Forecasting Applications Set in Dynamic and Uncertain Environments -- Sequence Pattern Mining -- Growing Self-Organizing Map for Online Continuous Clustering -- Synthesis of Spatio-temporal Models by the Evolution of Non-uniform Cellular Automata -- Bio-Inspired Approaches in Classification Problem -- Genetic Selection Algorithm and Cloning for Data Mining with GMDH Method -- Inducing Relational Fuzzy Classification Rules by Means of Cooperative Coevolution -- Post-processing Evolved Decision Trees -- Evolutionary Fuzzy and Swarm in Clustering Problems -- Evolutionary Fuzzy Clustering: An Overview and Efficiency Issues -- Stability-Based Model Order Selection for Clustering Using Multiple Cooperative Particle Swarms -- Genetic and Evolutionary Algorithms in Bioinformatics -- Data-Mining Protein Structure by Clustering, Segmentation and Evolutionary Algorithms -- A Clustering Genetic Algorithm for Genomic Data Mining -- Detection of Remote Protein Homologs Using Social Programming -- Bio-Inspired Approaches in Information Retrieval and Visualization -- Optimizing Information Retrieval Using Evolutionary Algorithms and Fuzzy Inference System -- Web Data Clustering -- Efficient Construction of Image Feature Extraction Programs by Using Linear Genetic Programming with Fitness Retrieval and Intermediate-Result Caching -- Mining Network Traffic Data for Attacks through MOVICAB-IDS.
Keywords: Applied mathematics; Engineering mathematics; Artificial intelligence; Mathematical and Computational Engineering; Artificial Intelligence