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Advances in machine learning and dat...
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Way, Michael J.
Advances in machine learning and data mining for astronomy[electronic resource] /
纪录类型:
书目-语言数据,印刷品 : Monograph/item
[NT 15000414] null:
522/.85631
[NT 47271] Title/Author:
Advances in machine learning and data mining for astronomy/ edited by, Michael J. Way ... [et al.].
[NT 51406] other author:
Way, Michael J.
出版者:
Boca Raton, FL : : CRC Press,, c2012.
面页册数:
1 online resource (xxix, 698 p., [16] p. of plates) : : ill. (some col.)
标题:
Astronomy - Data processing.
标题:
Data mining.
标题:
Machine learning.
ISBN:
9781439841747 (electronic bk.)
[NT 15000227] null:
Includes bibliographical references and index.
[NT 15000229] null:
"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"--Provided by publisher.
电子资源:
http://www.crcnetbase.com/isbn/9781439841747
Advances in machine learning and data mining for astronomy[electronic resource] /
Advances in machine learning and data mining for astronomy
[electronic resource] /edited by, Michael J. Way ... [et al.]. - Boca Raton, FL :CRC Press,c2012. - 1 online resource (xxix, 698 p., [16] p. of plates) :ill. (some col.) - Chapman & Hall/CRC data mining and knowledge discovery series. - Chapman & Hall/CRC data mining and knowledge discovery series..
Includes bibliographical references and index.
"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"--Provided by publisher.
ISBN: 9781439841747 (electronic bk.)
LCCN: 2011036610Subjects--Topical Terms:
612475
Astronomy
--Data processing.
LC Class. No.: QB51.3.E43 / A386 2012
Dewey Class. No.: 522/.85631
Advances in machine learning and data mining for astronomy[electronic resource] /
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http://www.crcnetbase.com/isbn/9781439841747
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