000			01828nam a22005175i 4500
001			978-3-540-78652-8
003			DE-He213
005			20130515021742.0
007			cr nn 008mamaa
008			100301s2008 gw | s |||| 0|eng d
020			_a9783540786528 _9978-3-540-78652-8
024	7		_a10.1007/978-3-540-78652-8 _2doi
050		4	_aQ334-342
050		4	_aTJ210.2-211.495
072		7	_aUYQ _2bicssc
072		7	_aCOM004000 _2bisacsh
082	0	4	_a006.3 _223
100	1		_aRaedt, Luc.
245	1	0	_aProbabilistic Inductive Logic Programming _h[electronic resource] : _bTheory and Applications / _cedited by Luc Raedt, Paolo Frasconi, Kristian Kersting, Stephen Muggleton.
260			_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2008.
300			_bdigital.
490	0		_aLecture Notes in Computer Science, _x0302-9743 ; _v4911
650		0	_aComputer science.
650		0	_aComputer software.
650		0	_aData mining.
650		0	_aArtificial intelligence.
650		0	_aBioinformatics.
650	1	4	_aComputer Science.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aProgramming Techniques.
650	2	4	_aMathematical Logic and Formal Languages.
650	2	4	_aAlgorithm Analysis and Problem Complexity.
650	2	4	_aData Mining and Knowledge Discovery.
650	2	4	_aComputational Biology/Bioinformatics.
700	1		_aFrasconi, Paolo.
700	1		_aKersting, Kristian.
700	1		_aMuggleton, Stephen.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783540786511
830		0	_aLecture Notes in Computer Science, _x0302-9743 ; _v4911
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-540-78652-8
912			_aZDB-2-SCS
912			_aZDB-2-LNC
999			_c80428 _d80428