DEVELOPMENT OF KNOWLEDGE MINING TECHNIQUES FOR SPATIAL DECISION SUPPORT SYSTEM

The advent of remote sensing and survey technologies over the last decade has dramatically enhanced our capabilities to collect terabytes of agricultural geographic data on a daily basis. However, the wealth of remotely sensed data cannot be fully realized when information implicit in data is difficult to discern. Though, lot of research has been conducted in the area of spatial data mining, but still a very few works deal with knowledge discovery in agriculture spatial databases. Development of efficient Knowlege Mining approaches is an important and challenging area for developing efficient and effective Spatial Decision Support Systems (SDSS). With the availability of advanced computer and ICT technologies there is a great potential for the development of effective Knowledge Mining techniques for the development of better Decision Support systems to support Agriculture. This may include development of specific Knowledge Management techniques that will radically improve access, decision making, resource allocation, management strategies, and promulgate process know-how for overall performance improvement. Spatial data mining techniques are regarded simply as functional extensions of conventional data mining techniques, constructed on the same first principles but using algorithms designed specifically to handle the characteristics and requirements of spatial data and spatial data mining. The paper presents Spatial Association Rules mining techniques to extract interesting correlations, frequent patterns, and associations among sets of items in the spatial databases by integrating data mining and GIS techniques to extract patterns and rules from the data. It helps in developing a Spatial Decision Support System by discovering the possible influence of selected geographical objects on yellow rust of wheat crop. Further the Knowledge miner algorithm has been improved to take less number of scans and thus, improve the execution time of the developed system