Data Mining: Foundations and Intelligent Paradigms Volume 3: Medical, Health, Social, Biological and other Applications /

Data mining is one of the most rapidly growing research areas in computer science and statistics. In Volume 3 of this three volume series, we have brought together contributions from some of the most prestigious researchers in applied data mining. Areas of application covered are diverse and include...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Holmes, Dawn E. (Editor ), Jain, Lakhmi C. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Colección:Intelligent Systems Reference Library, 25
Temas:
Computational intelligence.
Artificial intelligence.
Operations research.
Computational Intelligence.
Artificial Intelligence.
Operations Research and Decision Theory.
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Data Mining: Foundations and Intelligent Paradigms  |h [electronic resource] :  |b Volume 3: Medical, Health, Social, Biological and other Applications /  |c edited by Dawn E. Holmes, Lakhmi C Jain. 
250 |a 1st ed. 2012. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2012. 
300 |a XVI, 364 p.  |b online resource. 
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490 1 |a Intelligent Systems Reference Library,  |x 1868-4408 ;  |v 25 
505 0 |a From the content: Advances in Data Mining Applications -- Temporal Pattern Mining for Medical Applications -- BioKeySpotter: an Unsupervised Keyphrase Extraction Technique in the Biomedical Full-text Collection -- Mining Health Claims data for assessing patient risk -- Mining biological networks for similar patterns -- Estimation of Distribution Algorithms in Gene Expression Data Analysis. 
520 |a Data mining is one of the most rapidly growing research areas in computer science and statistics. In Volume 3 of this three volume series, we have brought together contributions from some of the most prestigious researchers in applied data mining. Areas of application covered are diverse and include healthcare and finance. Each of the chapters is self contained. Statisticians, applied scientists/ engineers and researchers in bioinformatics will find this volume valuable. Additionally, it provides a sourcebook for graduate students interested in the current direction of research in applied data mining. 
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650 0 |a Operations research. 
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650 2 4 |a Operations Research and Decision Theory. 
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