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Data Mining: Foundations and Intelligent Paradigms: Volume 3: Medical, Health, Social, Biological and other Applications de Dawn E. Holmes

Data Mining: Foundations and Intelligent Paradigms: Volume 3: Medical, Health, Social, Biological and other Applications: Intelligent Systems Reference Library, cartea 25

Editat de Dawn E. Holmes, Lakhmi C Jain
en Limba Engleză Paperback – 22 feb 2014
There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled “DATA MINING: Foundations and Intelligent Paradigms: Volume 3: Medical, Health, Social, Biological and other Applications” we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field.
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Specificații

ISBN-13: 9783642435461
ISBN-10: 3642435467
Pagini: 380
Ilustrații: XVI, 364 p.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.54 kg
Ediția:2012
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Intelligent Systems Reference Library

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

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.

Textul de pe ultima copertă

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.

Caracteristici

Contains the latest research on data mining research and its applications to financial modelling The state of the art of data mining for financial modelling is presented in a handbook style Written by leading experts in this field