Items related to Scientific Data Mining: A Practical Perspective
Synopsis
Scientific Data Mining How can data mining can be used to address the modern problem of data overload in science and engineering domains? Full description
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Book Description
A presentation of how data mining can be used to address the modern problem of data overload in science and engineering domains. This book will be useful for data mining practitioners, students learning about data analysis techniques and scientists interested in the application of data mining techniques to their data.
About the Author
Chandrika Kamath is a researcher at Lawrence Livermore National Laboratory, where she is involved in the analysis of data from scientific simulations, observations, and experiments. Her interests include signal and image processing, machine learning, pattern recognition, and statistics, as well as the application of data mining techniques to the solution of practical problems.
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- PublisherSociety for Industrial and Applied Mathematics
- Publication date2009
- ISBN 10 0898716756
- ISBN 13 9780898716757
- BindingPaperback
- Number of pages300
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Scientific Data Mining: A Practical Perspective
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Society for Industrial and Applied Mathematics 00/n /04 J, 2009
ISBN 10: 0898716756
ISBN 13: 9780898716757
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Scientific Data Mining: A Practical Perspective
Published by
Society for Industrial and Applied Mathematics 00/n /04 J, 2009
ISBN 10: 0898716756
ISBN 13: 9780898716757
Used
Softcover
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