Advances in Machine Learning and Data Mining for Astronomy

Advances in Machine Learning and Data Mining ...
Michael J. Way, Michael J. Way ...
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Last edited by ImportBot
October 6, 2021 | History

Advances in Machine Learning and Data Mining for Astronomy

"This book provides a comprehensive overview of various data mining tools and techniques that are increasingly being used by researchers in the international astronomy community. It explores this new problem domain, discussing how it could lead to the development of entirely new algorithms. Leading contributors introduce data mining methods and then describe how the methods can be implemented into astronomy applications. The last section of the book discusses the Redshift Prediction Competition, which is an astronomy competition in the style of the Netflix Prize"--

Publish Date
Language
English

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Edition Availability
Cover of: Advances in Machine Learning and Data Mining for Astronomy
Advances in Machine Learning and Data Mining for Astronomy
2016, Taylor & Francis Group
in English
Cover of: Advances in Machine Learning and Data Mining for Astronomy
Advances in Machine Learning and Data Mining for Astronomy
2012, Taylor & Francis Group
in English
Cover of: Advances in machine learning and data mining for astronomy
Advances in machine learning and data mining for astronomy
2012, Chapman and Hall/CRC
in English
Cover of: Advances in Machine Learning and Data Mining for Astronomy
Advances in Machine Learning and Data Mining for Astronomy
2012, Taylor & Francis Group
in English
Cover of: Advances in Machine Learning and Data Mining for Astronomy
Advances in Machine Learning and Data Mining for Astronomy
2012, Taylor & Francis Group
in English
Cover of: Advances in Machine Learning and Data Mining for Astronomy
Advances in Machine Learning and Data Mining for Astronomy
2012, Taylor & Francis Group
in English

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Book Details


Classifications

Library of Congress
QB51.3.E43

The Physical Object

Pagination
744
Weight
0.455

Edition Identifiers

Open Library
OL34644894M
ISBN 13
9781138199309

Work Identifiers

Work ID
OL16167634W

Source records

Better World Books record

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October 6, 2021 Created by ImportBot Imported from Better World Books record