Data Mining: Foundations and Intelligent Paradigms. Vol.3 - Medical, Health, Social, Biological and other Applications

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.

List of contents

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.

Summary

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.

Product details

• Assisted by: C Jain (Editor), C Jain (Editor), Daw E Holmes (Editor), Dawn E Holmes (Editor), Dawn E. Holmes (Editor), Lakhmi C Jain (Editor), Lakhmi C. Jain (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 13.02.2014
• EAN: 9783642435461
• ISBN: 978-3-642-43546-1
• No. of pages: 364
• Dimensions: 157 mm x 236 mm x 20 mm
• Weight: 575 g
• Illustrations: XVI, 364 p.
• Series: Intelligent Systems Reference Library; Intelligent Systems Reference Library
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; Operations Research, C, Artificial Intelligence, engineering, Operations Research/Decision Theory, Operations Research and Decision Theory, Management decision making, Operational research, Decision Making, Computational Intelligence