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Advanced Methods for Knowledge Discovery from Complex Data
Authors: --- --- ---
ISBN: 9781846282843 Year: 2005 Publisher: London Dr Sanghamitra Bandyopadhyay

Analysis of biological data
Authors: --- ---
ISBN: 1281918644 9786611918644 9812708898 9789812708892 9789812707802 9812707808 9781281918642 Year: 2007 Publisher: New Jersey

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Abstract

Bioinformatics, a field devoted to the interpretation and analysis of biological data using computational techniques, has evolved tremendously in recent years due to the explosive growth of biological information generated by the scientific community. Soft computing is a consortium of methodologies that work synergistically and provides, in one form or another, flexible information processing capabilities for handling real-life ambiguous situations. Several research articles dealing with the application of soft computing tools to bioinformatics have been published in the recent past; however,


Book
Advanced Methods for Knowledge Discovery from Complex Data
Authors: --- --- --- ---
ISBN: 9781846282843 Year: 2005 Publisher: London Springer London

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Abstract

Advanced Methods for Knowledge Discovery from Complex Data brings together research articles by active practitioners and leading researchers reporting recent advances in the field of knowledge discovery, where the information is mined from complex data, such as unstructured text from the world-wide web, databases naturally represented as graphs and trees, geoscientific data from satellites and visual images, multimedia data and bioinformatics data. An overview of the field, looking at the issues and challenges involved is followed by coverage of recent trends in data mining, including descriptions of some currently popular tools like genetic algorithms, neural networks and case-based reasoning. This provides the context for the subsequent chapters on methods and applications. Part I is devoted to the foundations of mining different types of complex data like trees, graphs, links and sequences. A knowledge discovery approach based on problem decomposition is also described. Part II presents important applications of advanced mining techniques to data in unconventional and complex domains, such as life sciences, world-wide web, image databases, cyber security and sensor networks. With a good balance of introductory material on the knowledge discovery process, advanced issues and state-of-the-art tools and techniques, as well as recent working applications this book provides a representative selection of the available methods and their evaluation in real domains. It will be useful to students at Masters and PhD level in Computer Science, as well as practitioners in the field. A website supports the book: http://www.cse.uta.edu/amkdcd.


Multi
Multiobjective Optimization Algorithms for Bioinformatics
Authors: --- --- --- ---
ISBN: 9789819716319 9789819716302 9789819716326 9789819716333 Year: 2024 Publisher: Singapore Springer Nature Singapore :Imprint: Springer

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