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The 3rd International Workshop on Intelligent Data Analysis and Management
Author(s) -
Lorna Uden,
Leon S. L. Wang,
TzungPei Hong,
Hsin-Chang Yang,
IHsien Ting
Publication year - 2013
Publication title -
springer proceedings in complexity
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.132
H-Index - 14
eISSN - 2213-8692
pISSN - 2213-8684
DOI - 10.1007/978-94-007-7293-9
Subject(s) - computer science , data science , knowledge management , business
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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