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 |  |  Hybrid Methods in Pattern RecognitionThe discipline of pattern recognition has seen enormous progress since its beginnings more than four decades ago. Over the years various approaches have emerged, based on statistical decision theory, structural matching and parsing, neural networks, fuzzy logic, artificial intelligence, evolutionary computing, and others. Obviously, these... |  |  Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007This book constitutes the refereed proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2007, held in Toronto, Canada in May 2007 in conjunction with the Second International Conference on Rough Sets and Knowledge Technology, RSKT 2007, both as part of the Joint Rough Set... |
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 Grid Generation Methods (Scientific Computation)This book is an introduction to structured and unstructured grid methods in scientific computing, addressing graduate students, scientists as well as practitioners. Basic local and integral grid quality measures are formulated and new approaches to mesh generation are reviewed. In addition to the content of the successful first edition, a more... |  |  |  |  High-Level Data FusionMaster cutting-edge Level 2 fusion techniques that help you develop powerful situation assessment services with eye-popping capabilities and performance with this trail-blazing resource. The book explores object and situation fusion processes with an appropriate handling of uncertainties, and applies cutting-edge artificial intelligence and... |
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 Infectious Disease InformaticsInfectious Diseases Informatics
Edited by
Vitali Sintchenko
The University of Sydney, Sydney, Australia
Preface.- List of contributors.- 1Informatics for Infectious Disease Research and Control.- 2 Bioinformatics of Microbial Sequences.- 3 Mining Databases for Microbial Gene Sequences.- 4 Comparative Genomics of... |  |  Managing and Mining Graph Data (Advances in Database Systems)Managing and Mining Graph Data is a comprehensive survey book in graph data analytics. It contains extensive surveys on important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific... |  |  Data Mining in Biomedicine Using Ontologies
An ontology is a set of vocabulary terms with explicitly stated meanings and relations with other terms. Presently, a growing number of ontologies are being built and used for annotating data in biomedical research. Thanks to the tremendous amount of data being generated, ontologies are now being used in numerous ways, including connecting... |
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