000			01470nam a2200241 a 4500
001			vtls000076558
003			KUKTEM
005			20251114204608.0
008			140107t2012 my a f m 000 0 eng d
020			_aTHE0002009(Local)
039		9	_a201905131602 _byusri _y201401071059 _znabilah
040			_aUMP
090			_aQA276 .A45 2012 rs Bc.
100	0		_aAmin Luddin Adnan
245	1	0	_aSoft set theory for data reduction / _cAmin Luddin Adnan
260			_aKuantan, Pahang : _bUMP, _c2012
300			_axi, 53 p. : _bill. ; _c30 cm. + _e1 CD-ROM
502			_aProject paper (Bachelor of Computer Science) -- Universiti Malaysia Pahang – 2012
504			_aBibliography : p. 45-46
520	3		_aThe recent changes in utility structureso development in renewable technologies and increased. There are many data exist all stored data stored in the computer using intemet, everyday data was stored. This data poses a problem when we need to use data" but the data are too numerous and scattered on the internet blur of data. Therefore, there are techniques required and are introduced to overcome this problem. Discussion discussed is Knowledge Discovery in Databases and techniques used are multi-soft set of techniques. Dataset is a set of multi-value data. By using Multi soft sets irq can rcduce the data based on the theory of soft sets
650		0	_aData reduction
999			_aVIRTUA40 _c4792 _d4798
999			_aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*9992