Crop Yield Analysis of the Irrigated Areas of All Spatial Locations in Guntur District of APAbstract: Spatial data mining is a process to discover interesting and potentially useful spatial patterns embedded in spatial databases, which are voluminous in their sizes. Efficient techniques for extracting information from geo-spatial data sets can be of importance to various sectors like research, defense and private organizations for generating and managing large geo-spatial data sets. The current approach towards solving spatial data mining problems is to use classical data mining techniques. Effective analysis was done using the hybrid data mining techniques by mixing both clustering and classification techniques. In this paper crop yield of spatial locations of Guntur district were taken and studied using the hybrid technique.
Key words: geo-spatial data sets, hybrid data mining technique, clustering, classification, spatial locations
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