Foundations of computational intelligence v. 3 Bio-inspired data mining

Fourth volume of a Reference work on the foundations of Computational Intelligence Devoted to bio-inspired data mining INDICE: From the contents Part-I: 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: Genetic Network Programming Approach.- Growing Self-Organizing Map forOnline Continuous Clustering.- Synthesis of Spatio-Temporal Models by the Evolution of Non-Uniform Cellular Automata.- Part-II 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.- Part-III: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 Swarms.- Data-mining protein structure by clustering, segmentation and evolutionary algorithms.

• ISBN: 978-3-642-01087-3
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 300
• Fecha Publicación: 01/05/2009
• Nº Volúmenes: 1
• Idioma: Inglés