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Advances in machine learning and dat...

Way, Michael J.

Advances in machine learning and data mining for astronomy

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Advances in machine learning and data mining for astronomy/ edited by, Michael J. Way ... [et al.].
其他作者:	Way, Michael J.
出版者:	Boca Raton, FL :CRC Press, : c2012.,
面頁冊數:	1 online resource (xxix, 698 p., [16] p. of plates) :ill. (some col.) :
提要註:	"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.
標題:	Astronomy - Data processing. -
電子資源:	http://www.crcnetbase.com/isbn/9781439841747
ISBN:	9781439841747 (electronic bk.)

Advances in machine learning and data mining for astronomy
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:

404849
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
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245 0 0 $a Advances in machine learning and data mining for astronomy $h [electronic resource] / $c edited by, Michael J. Way ... [et al.].
260 $a Boca Raton, FL : $b CRC Press, $c c2012.
300 $a 1 online resource (xxix, 698 p., [16] p. of plates) : $b ill. (some col.)
490 1 $a Chapman & Hall/CRC data mining and knowledge discovery series
504 $a Includes bibliographical references and index.
520 $a "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.
588 $a Description based on print version record.
650 0 $a Astronomy $x Data processing. $3 404849
650 0 $2 96060 $a Data mining. $3 255525
650 0 $2 96060 $a Machine learning. $3 248498
700 1 $a Way, Michael J. $3 404847
830 0 $a Chapman & Hall/CRC data mining and knowledge discovery series. $3 404848
856 4 0 $u http://www.crcnetbase.com/isbn/9781439841747

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