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006			m d
007			cr nn 008maaau
008			090212s2006 gw q j eng d
020			_a9783540316893 (electronic bk.)
020			_a9783540316817 (paper)
035			_a(Springer)978-3-540-31681-7
039		9	_a200902121756 _bmuhaimin _c200902121018 _dmuhaimin _c200804041004 _dmuhaimin _c200804040930 _dmuhaimin _y04-03-2008 _zmuhaimin
050	0	0	_aQ325.5 _b.H83 2006
082	0	0	_a006.312 _222
090			_aQ325.5 _b.H874 2006
100	1		_aHuang, Te-Ming.
245	1	0	_aKernel Based Algorithms for Mining Huge Data Sets _h[electronic resource] : _bSupervised, Semi-supervised, and Unsupervised Learning / _cby Te-Ming Huang, Vojislav Kecman, Ivica Kopriva.
260			_aBerlin, Heidelberg : _bSpringer-Verlag Berlin Heidelberg, _c2006.
300			_axvi, 260 p. : _bill., digital ; _c25 cm.
440		0	_aStudies in Computational Intelligence, _x1860-949X ; _v17
650		0	_aMachine learning.
650		0	_aData mining.
650		0	_aKernel functions.
700	1		_aKecman, Vojislav.
700	1		_aKopriva, Ivica.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer e-books
856	4	0	_uhttps://eresourcesptsl.ukm.remotexs.co/user/login?url=http://dx.doi.org/http://dx.doi.org/10.1007/3-540-31689-2
907			_a.b14133180 _b2025-04-14 _c2019-11-12
942			_n0 _kQ325.5 .H874 2006
914			_avtls003370830
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999			_c409298 _d409298