Data Mining: Foundations and Intelligent Paradigms
Volume 3: Medical, Health, Social, Biological and other Applications
Editors: Holmes, Dawn E., Jain, Lakhmi C. (Eds.)
Free Preview- 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
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- About this book
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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.
- Table of contents (15 chapters)
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Advances in Intelligent Data Mining
Pages 1-7
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Temporal Pattern Mining for Medical Applications
Pages 9-18
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BioKeySpotter: An Unsupervised Keyphrase Extraction Technique in the Biomedical Full-Text Collection
Pages 19-27
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Mining Health Claims Data for Assessing Patient Risk
Pages 29-62
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Mining Biological Networks for Similar Patterns
Pages 63-99
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Table of contents (15 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Data Mining: Foundations and Intelligent Paradigms
- Book Subtitle
- Volume 3: Medical, Health, Social, Biological and other Applications
- Editors
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- Dawn E. Holmes
- Lakhmi C. Jain
- Series Title
- Intelligent Systems Reference Library
- Series Volume
- 25
- Copyright
- 2012
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-642-23151-3
- DOI
- 10.1007/978-3-642-23151-3
- Hardcover ISBN
- 978-3-642-23150-6
- Softcover ISBN
- 978-3-642-43546-1
- Series ISSN
- 1868-4394
- Edition Number
- 1
- Number of Pages
- XVI, 364
- Topics
