The 3rd International Workshop on Intelligent Data Analysis and Management (Paperback, Softcover reprint of the original 1st ed. 2013)


These papers on Intelligent Data Analysis and Management (IDAM) examine issues related to the research and applications of Artificial Intelligence techniques in data analysis and management across a variety of disciplines. The papers derive from the 2013 IDAM conference in Kaohsiung ,Taiwan. It is an interdisciplinary research field involving academic researchers in information technologies, computer science, public policy, bioinformatics, medical informatics, and social and behavior studies, etc. The techniques studied include (but are not limited to): data visualization, data pre-processing, data engineering, database mining techniques, tools and applications, evolutionary algorithms, machine learning, neural nets, fuzzy logic, statistical pattern recognition, knowledge filtering, and post-processing, etc.

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Product Description

These papers on Intelligent Data Analysis and Management (IDAM) examine issues related to the research and applications of Artificial Intelligence techniques in data analysis and management across a variety of disciplines. The papers derive from the 2013 IDAM conference in Kaohsiung ,Taiwan. It is an interdisciplinary research field involving academic researchers in information technologies, computer science, public policy, bioinformatics, medical informatics, and social and behavior studies, etc. The techniques studied include (but are not limited to): data visualization, data pre-processing, data engineering, database mining techniques, tools and applications, evolutionary algorithms, machine learning, neural nets, fuzzy logic, statistical pattern recognition, knowledge filtering, and post-processing, etc.

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Product Details

General

Imprint

Springer

Country of origin

Netherlands

Series

Springer Proceedings in Complexity

Release date

August 2015

Availability

Expected to ship within 10 - 15 working days

Editors

, , , ,

Dimensions

235 x 155 x 8mm (L x W x T)

Format

Paperback

Pages

132

Edition

Softcover reprint of the original 1st ed. 2013

ISBN-13

978-9400792869

Barcode

9789400792869

Categories

LSN

9400792867



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