000			02103nam a2200469 a 4500
001			vtls000035319
003			VRT
005			20240802185229.0
008			101206s2002 nyu rb 000 0 eng d
035			_aVNU020043631
039		9	_a201711161140 _bbactt _c201610191038 _dhaianh _c201502072248 _dVLOAD _c201404250316 _dVLOAD _y201012062105 _zVLOAD
040			_aVNU
041			_aeng
044			_aUS
082	0	4	_a005 _bROU(2) 1998 _221
090			_a005 _bROU(2) 1998
094			_a22.18
094			_a32.973.2-018
245	0	0	_aRough Sets in Knowledge Discovery 2 : _bApplications, Case Studies and Software Systems / _cEd. : Lech Polkowski, Andrzej Skowron
246			_aRough sets in knowledge discovery two
260			_aN.Y. : _bPhysica-Verlag , _c1998
300			_a601 p.
505			_aApplications -- Case Studies -- Hybrid Approaches -- Appendix 1: Rough Set Bibliography -- Appendix 2: Software Systems.
520			_aThe ideas and techniques worked out in Rough Set Theory allow for knowledge reduction and to finding near - to - functional dependencies in data. This fact determines the importance of these techniques for the rapidly growing field of knowledge discovery. Volume 1 and 2 will bring together articles covering the present state of the methods developed in this field of research. Among the topics covered we may mention: rough mereology and rough mereological approach to knowledge discovery in distributed systems; discretization and quantization of attributes; morphological aspects of rough set theory; analysis of default rules in the framework of rough set theory.
650	0	0	_aDatabase management.
650	0	0	_aRough sets.
650	0	0	_aExpert systems (Computer science)
650	0	0	_aSoft computing.
653			_aCông nghệ phần mềm
653			_aHệ mờ
653			_aTập gần đúng đại khái
700	1		_aPolkowski, Lech
700	1		_aSkowron, Andrzej.
900			_aTrue
911			_aP.T.Xuân
912			_aH.T.Hoà
925			_aG
926			_a0
927			_aSH
928	1		_aA-D0/02081
942			_c14
999			_c362408 _d362408