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A Method of the Abstract Generalization on the Basis of the Semantic Proximity

WANG Li Zhen(Department of Computer Science and Engineering, College of Information, Yunnan University, Kunming 650091) Abstract Attribute Oriented Generalization(AOG) plays a fundamentally important role in KDD. Through transforms data stored in rel  
ion levels. A new method of AOG——the abstract generalization on the basis of the semantic proximity is introduced. The new method makes the AOG algorithms interactive and incremental. It extends application of the AOG algorithms. An effective data structure, the binary partition tree, is introduced in the algorithm design of the new method. It essentially assure that the algorithm has characteristic of high efficient, incremental and fast regeneralization.
【Fund】: 云南省自然科学基金!(1999F0 0 15 M)
【CateGory Index】: TP311
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