DATA MART CONSTRUCTION FOR SEMI- STRUCTURED DATA SOURCE USING SUPPORT VECTOR MACHINE

The departments of Agriculture are in need of tracking and updating all the details of food and the agricultural industry. This data analysis is mandatory to have the latest updated information for the authorities who decide on the market value and the prediction of various products. Having complex, high dimensional information and therefore a progressively perplexing preparing chain as a link of various calculations, up to now it was about difficult to discover what occurred in the classification procedure and which parts of the first information were utilized. The proposed strategy utilizes the Artificial Intelligence calculation using Support Vector Machine for the grouping and development of information bazaar. It empowers a representation of the total handling chain in the information space and the preprocessing to convert into semi structured data. The classifier used defined the data with distinct facts and dimensions to enhance the prediction of data analysis in the food and agricultural sector.