The 3rd International Workshop on Intelligent Data Analysis and Management

• Corporate Author: SpringerLink (Online service)
• Other Authors: Uden, Lorna. (Editor), Wang, Leon S.L. (Editor), Hong, Tzung-Pei. (Editor), Yang, Hsin-Chang. (Editor), Ting, I-Hsien. (Editor)
• Format: Electronic
• Language: English
• Published: Dordrecht : Springer Netherlands : Imprint: Springer, 2013.
• Series: Springer Proceedings in Complexity,
• Subjects: Computer science.; Artificial intelligence.; Social sciences > Data processing.; Bioinformatics.; Engineering mathematics.; Computer Science.; Computer Appl. in Social and Behavioral Sciences.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).; Computational Biology/Bioinformatics.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-94-007-7293-9
• Physical Description: X, 132 p. 49 illus., 37 illus. in color. online resource.
• ISBN: 9789400772939
• ISSN: 2213-8684

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.