Editors:
- Presents a data analytic approach for an efficient way to analyze the data, to find useful patterns, to generate and validate hypothesis
- Offers data mining researchers a new domain of study, an area which sits on a wealth of data untouched for development of new algorithms to address the specific nature of this field
- Provides the biostatistics community and health practitioners a means to analyze Traditional Chinese Medicine (TCM)
- Includes supplementary material: sn.pub/extras
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Table of contents (13 chapters)
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Front Matter
About this book
Editors and Affiliations
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University of Sydney, Sydney, Australia
Josiah Poon, Simon K. Poon
Bibliographic Information
Book Title: Data Analytics for Traditional Chinese Medicine Research
Editors: Josiah Poon, Simon K. Poon
DOI: https://doi.org/10.1007/978-3-319-03801-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-03800-1Published: 06 March 2014
Softcover ISBN: 978-3-319-34629-8Published: 03 September 2016
eBook ISBN: 978-3-319-03801-8Published: 19 February 2014
Edition Number: 1
Number of Pages: XII, 248
Number of Illustrations: 14 b/w illustrations, 45 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Health Informatics, Health Informatics, Pattern Recognition