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.
Editors and Affiliations
School of Computing, Staffordshire University, Stafford, United Kingdom
Lorna Uden
Dean of College of Management, National University of Kaohsiung, Kaohsiung, Taiwan
Leon S.L. Wang
Information Engineering, National University of Kaohsiung Dept. Computer Science &, Kaohsiung, Nan-Tzu District, Taiwan
Tzung-Pei Hong
National University of Kaohsiung, Kaohsiung, Taiwan
Hsin-Chang Yang
National University of Kaohsiung Dept. Information Management, Kaohsiung, Nan-Tzu District, Taiwan
I-Hsien Ting
Bibliographic Information
Book Title: The 3rd International Workshop on Intelligent Data Analysis and Management