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We can see that data farming is an emerging field of research because decision making is an important issue in the competitive business environment. The appropriateness of data and the data collection cost become the goals of data farming. Data farming is emerging fields of research in the current scenario, where data collection cost and time consumed in data collection is significant to reduce. We can farm the data where we have narrow data set and then apply the data mining algorithm to extract the useful knowledge. We proposed an algorithm for data farming steps data plantation & harvesting. We farm sufficient data from the available little seed data by applying the proposed algorithm of data farming. Classification results of J48 classification, for farmed data is achieved better than classification results for the seed data, which proves that the proposed data farming algorithm has produced effective data. In this paper, we present an algorithm for data farming which farms the data with the help of the seed data on a predefined error threshold rate. Proposed algorithm has implemented on farmed datasets are verified for the classification accuracy on the weka open source data mining tool.

Enhanced the Performance of Medical Data Based on Data Farming Techniques