Abstrato

Rule Based and Association Rule Mining On Agriculture Dataset

Dr. Rahul G. Thakkar, Dr. Manish Kayasth, Hardik Desai

The wide availability of huge amounts of agriculture data has generated an urgent need for the research of data mining. Generating rules with higher accuracy for Agriculture databases can be done using different techniques of data mining. As the analysis of agriculture dataset is usually a complex work. Two different techniques were demonstrated for mining agriculture dataset, Association rule mining and Classification technique. Both of them are successful. It is always difficult to select the appropriate data mining algorithm for the specific database, there can be many algorithms through which rules can be generated but it is always a problem to get rules with higher accuracy. Research mainly emphasizes on different algorithm for mining agriculture data.