The 3rd International Workshop on Intelligent Data Analysis and Management

Lorna Uden

ISBN 10: 9400772920 / ISBN 13: 9789400772922

Published by Springer Netherlands, Springer Netherlands, 2013

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9789400772922

Bibliographic Details

• Title: The 3rd International Workshop on Intelligent Data Analysis and Management
• Publisher: Springer Netherlands, Springer Netherlands
• Publication Date: 2013
• Language: English
• ISBN 10: 9400772920
• ISBN 13: 9789400772922
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 13D millimeters 241 millimeters width by 160 millimeters height by 13 millimeters depth
• Weight: 389 grams

About this title

Synopsis

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.