Editors:
- contains the latest research on data mining research and its applications to health informatics
- The state of the art of data mining for health informatics is presented in a handbook style
- Written by leading experts in this field
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 24)
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Table of contents (11 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 2: Core Topics including Statistical, Time-Series and Bayesian Analysis” 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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Department of Statistics andApplied Probability, University of California , Santa Barbara, USA
Dawn E. Holmes
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Knowledge-Based Engineering, University of South Australia, Adelaide Mawson Lakes, Australia
Lakhmi C. Jain
Bibliographic Information
Book Title: Data Mining: Foundations and Intelligent Paradigms
Book Subtitle: VOLUME 2: Statistical, Bayesian, Time Series and other Theoretical Aspects
Editors: Dawn E. Holmes, Lakhmi C. Jain
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-642-23241-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2012
Hardcover ISBN: 978-3-642-23240-4Published: 07 November 2011
Softcover ISBN: 978-3-642-43429-7Published: 26 January 2014
eBook ISBN: 978-3-642-23241-1Published: 09 November 2011
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XIV, 250
Topics: Computational Intelligence, Artificial Intelligence, Health Informatics