Efficient Spatial Association Rule Mining Algorithm Based on Region

Provided by: AICIT
Topic: Big Data
Format: PDF
In order to improve the efficiency of association rule mining, this paper proposes an efficient spatial association rule mining algorithm based on region, which takes the spatial constraints into account to filter irrelevant data quickly and improve the efficiency of discovering spatial association rule. The proposed algorithm analyzes the spatial relativity during the generation of frequency item sets and calculates support and confidence by the numeric parsers. Experiments results show that the proposed algorithm can improve the accuracy of spatial association rule mining greatly.

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