Foundations of computational intelligence. Volume 4, Bio-inspired data mining

Recent advances in the computing and electronics technology, particularly in sensor devices, databases and distributed systems, are leading to an exponential growth in the amount of data stored in databases. It has been estimated that this amount doubles every 20 years. For some applications, this i...

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Tác giả khác: Kacprzyk, Janusz, 1947- (Giám đốc xuất bản), Carvalho, André Carlos Ponce de Leon Ferreira, 19..- (Giám đốc xuất bản), Abraham, Ajith, 1968- (Giám đốc xuất bản), Hassanien, Aboul Ella, 1964- (Giám đốc xuất bản)
Định dạng: Livre numérique
Ngôn ngữ:Anglais
Được phát hành: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Phiên bản:1st ed. 2009.
Loạt:Studies in Computational Intelligence 204
Truy cập trực tuyến:Accès sur la plateforme de l'éditeur
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Accès Université d'Orléans
Accès INSA CVL
Chú thích: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Foundations of computational intelligence, Volume 4, Bio-inspired data mining, Ajith Abraham, Aboul-Ella Hassanien, André Ponce de Leon F. de Carvalho, Berlin, Springer, 2009, Studies in computational intelligence, 978-3-642-01087-3
• Foundations of Computational Intelligence, Texte imprimé, 9783642010897
• Foundations of Computational Intelligence, Texte imprimé, 9783642101663
• Foundations of computational intelligence, Volume 4, Bio-inspired data mining, Ajith Abraham, Aboul-Ella Hassanien, André Ponce de Leon F. de Carvalho, Berlin, Springer, 2009, Studies in computational intelligence, 978-3-642-01087-3
Mục lục:
  • 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