Title :
Development of a New Method for Data Mining Based Rough Set Theory
Author :
Hao, Jianjun ; Li, Huiping ; Huang, Jihua ; Zhang, Jiangang
Author_Institution :
Agric. Univ. of Hebei
Abstract :
In the paper, a kind of expanding model of rough set, which is with membership grade degree and contribution was presented after lucubrating the deficiencies of the theory of traditional rough set. In this model, the information system with membership grade and contribution, the processing of noises, similar space partition, the dependency grade calculation of decision attribute on condition one, attribute reduction algorithm, mining process of interconnected rule were discussed
Keywords :
data mining; rough set theory; attribute reduction algorithm; data mining; decision attribute; interconnected rule mining; membership grade contribution; membership grade degree; rough set theory; Data mining; Information systems; Learning systems; Machine learning; Noise reduction; Paper technology; Partitioning algorithms; Probability; Set theory; Uncertainty;
Conference_Titel :
Data Mining Workshops, 2006. ICDM Workshops 2006. Sixth IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2702-7
DOI :
10.1109/ICDMW.2006.60
