Application of the Parallel Spatial Association Rule in Remote Sensing Data Mining

Abstract:

Since the remote sensing data are multi-resources and massive, the common data mining algorithm cannot effectively discover the knowledge what people want to know. However, spatial association rule can solve the problem of inefficiency in remote sensing data mining. This paper gives an algorithm to compute the frequent item sets though a method like calculating vectors inner-product. And the algorithm will introduce pruning in the whole running. It reduces the time and resources consumption effectively

• Periodical: Key Engineering Materials (Volume 500)
• Pages: 598-602
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.500.598
• Online since: January 2012
• Authors: Jun Ma, Dong Dong Zhang
• Keywords: Association Rule, Parallel Data Mining, Pruning, RS Data, TM Image

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