Editors:
- Contains the latest research on data mining research and its applications to financial modelling
- The state of the art of data mining for financial modelling is presented in a handbook style
- Written by leading experts in this field
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 25)
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Table of contents (15 chapters)
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Front Matter
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Back Matter
About this book
There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled “DATA MINING: Foundations and Intelligent Paradigms: Volume 3: Medical, Health, Social, Biological and other Applications” we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field.
Editors and Affiliations
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College of Letters & Science, Dept. Statistics & Applied Probability, University of California, Santa Barbara, Santa Barbara, USA
Dawn E. Holmes
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, School of Electrical and Information Eng, University of South Australia, Mawson Lakes Campus, Australia
Lakhmi C Jain
Bibliographic Information
Book Title: Data Mining: Foundations and Intelligent Paradigms
Book Subtitle: Volume 3: Medical, Health, Social, Biological and other Applications
Editors: Dawn E. Holmes, Lakhmi C Jain
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-642-23151-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2012
Hardcover ISBN: 978-3-642-23150-6Published: 13 January 2012
Softcover ISBN: 978-3-642-43546-1Published: 22 February 2014
eBook ISBN: 978-3-642-23151-3Published: 12 January 2012
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XVI, 364
Topics: Computational Intelligence, Artificial Intelligence, Operations Research/Decision Theory