000			01491nam a2200253 a 4500
001			vtls000067581
003			KUKTEM
005			20251114204529.0
008			121210t2012 my da f m 000 0 eng d
020			_aTHE0002013(Local)
039		9	_a201905131604 _byusri _c201301081242 _dhuda _y201212101541 _zhuda
040			_aUMP
090			_aQA278 .H34 2012 rs Bc.
100	0		_aHafiz Kamal Leang
245	1	0	_aData clustering using maximum dependency of attributes and its application to cluster agricultural products / _cHafiz Kamal Leang
260			_aKuantan, Pahang : _bUMP, _c2012
300			_axi, 105 p. : _bill. (some col.) ; _c30 cm. + _e1 CD-ROM
502			_aProject paper (Bachelor of Computer Science (Software Engineering)) -- Universiti Malaysia Pahang - 2012
504			_aBibliography : p. 86-91
520	3		_aThis project is about understanding the method of Clustering Data using Rough set Theory. The technique used is Maximum Dependency of attributes. The way this technique work is by calculating the degree of each attribute and selecting the highest dependency based on the degree. The highest degree of attribute will be chosen as the best attribute to be used to cluster the data. A system will be built by using Visual Basic (VB) that will implement this technique to cluster large data faster and easier.
650		0	_aCluster analysis
650		0	_aData mining
999			_aVIRTUA40 _c3637 _d3643
999			_aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*6501*9992