Strategies of an Efficient Algorithm PARM to Generate Association Rules Mining Technique Based on Spatial Data

Provided by: International Journal of Computing Science and Information Technology (IJCSIT)
Topic: Big Data
Format: PDF
In the association rule mining, originally proposed form market basket data, has potential applications in many areas. Spatial data, such as Remote Sensed Imagery (RSI) data, is one of the promising application areas. Association rule mining is one of the most popular data mining techniques which can be defined as extracting the interesting correlation and relation among large volume of transactions. Extracting interesting patterns and rules from spatial data sets, composed of images and associated ground data, can be of importance in precision agriculture, resource discovery, and other areas.

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