東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Advances in machine learning and dat...

Way, Michael J.

FindBook

Google Book

Amazon

博客來

Advances in machine learning and data mining for astronomy

紀錄類型:	書目-電子資源 : 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.)
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:

816366
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
LDR:01585cmm a2200253 a 4500 001 2034042
005 20121210000000.0
006 m o d
007 cr |n|---|||||
008 161104s2012 flua ob 001 0 eng
010 $a 2011036610
020 $a 9781439841747 (electronic bk.)
020 $z 9781439841730 (hardback)
035 $a 751834966
040 $a DLC $b eng $c DLC $d YDX $d BTCTA $d UKMGB $d YDXCP $d BWX $d SKYRV
050 0 0 $a QB51.3.E43 $b A386 2012
082 0 0 $a 522/.85631 $2 23
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 816366
650 0 $a Data mining. $3 562972
650 0 $a Machine learning. $3 533906
700 1 $a Way, Michael J. $3 2188846
830 0 $a Chapman & Hall/CRC data mining and knowledge discovery series. $3 1097255
856 4 0 $u http://www.crcnetbase.com/isbn/9781439841747