Editors:
- Provides useful and practical approaches to modeling, analyzing and cleaning data
- Showcases the most current methods in data analysis in multiple fields of research
- Reflects recent research in this interdisciplinary field
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Proceedings in Complexity (SPCOM)
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Table of contents (15 papers)
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Front Matter
About this book
Editors and Affiliations
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School of Computing, Staffordshire University, Stafford, United Kingdom
Lorna Uden
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Dean of College of Management, National University of Kaohsiung, Kaohsiung, Taiwan
Leon S.L. Wang
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Information Engineering, National University of Kaohsiung Dept. Computer Science &, Kaohsiung, Nan-Tzu District, Taiwan
Tzung-Pei Hong
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National University of Kaohsiung, Kaohsiung, Taiwan
Hsin-Chang Yang
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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
Editors: Lorna Uden, Leon S.L. Wang, Tzung-Pei Hong, Hsin-Chang Yang, I-Hsien Ting
Series Title: Springer Proceedings in Complexity
DOI: https://doi.org/10.1007/978-94-007-7293-9
Publisher: Springer Dordrecht
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer Science+Business Media Dordrecht 2013
Hardcover ISBN: 978-94-007-7292-2Published: 16 August 2013
Softcover ISBN: 978-94-007-9286-9Published: 26 August 2015
eBook ISBN: 978-94-007-7293-9Published: 13 August 2013
Series ISSN: 2213-8684
Series E-ISSN: 2213-8692
Edition Number: 1
Number of Pages: X, 132
Topics: Computer Appl. in Social and Behavioral Sciences, Mathematical and Computational Engineering, Artificial Intelligence, Computational Biology/Bioinformatics