000			01809cam a22003495i 4500
001			9421939
003			EG-ScBUE
005			20250113093452.0
008			110926t2012 flua f b 001 0 eng d
020			_a9781439841730
020			_a143984173X
040			_aDLC _beng _erda _cDLC _dBTCTA _dUKMGB _dYDXCP _dNhCcYBP _dEG-ScBUE
082	0	4	_a522.85631 _222 _bADV
245	0	0	_aAdvances in machine learning and data mining for astronomy / _cedited by Michael J. Way ... [and three others]
264		1	_aBoca Raton : _bCRC Press / Taylor & Francis Group, _c[2012]
264		4	_cc2012
300			_axxix, 698 pages : _billustrations (some color) ; _c27 cm.
336			_2rdacontent _atext _btxt
337			_aunmediated _2rdamedia _bn
338			_avolume _bnc _2rdacarrier
490	0		_aChapman & Hall/CRC data mining and knowledge discovery series
504			_aIncludes 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.
650		7	_aAstronomy _xData processing. _2BUEsh
650		7	_aData mining. _2BUEsh _927695
650		7	_aMachine learning. _2BUEsh _92922
651			_2BUEsh
653			_bCOMSCI _cNovember2016
655			_vReading book
700	1		_aWay, Michael J., _eeditor. _936962
942			_2ddc _cBB
999			_c23276 _d23248