Wow! eBook
The 3rd International Workshop on Intelligent Data Analysis and Management Softcover reprint of the original 1st ed. 2013 Edition
Author(s): Lorna Uden (Editor), Leon S.L. Wang (Editor), Tzung-Pei Hong (Editor), Hsin-Chang Yang (Editor), I-Hsien Ting (Editor)
- Publisher: Springer
- Publication Date: 26 Aug. 2015
- Edition: Softcover reprint of the original 1st ed. 2013
- Language: English
- Print length: 142 pages
- ISBN-10: 9400792867
- ISBN-13: 9789400792869
Book 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.
Editorial Reviews
From the Back Cover
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.
