Association Rule Mining in Drought Data with Special Reference to Bhopal District
Anil Kumar Rajput, P. K. Purohit, Rajesh Kumar Sharma, Ramesh Prasad Aharwal · Studies in Applied Mathematics · 2013
Association rule mining was first introduced By Agarwalet al ([1], 1993; [3], 2000) which is the most important and well researched techniques ofdata mining, The Aimsof ARM to extract interesting correlations,repeated patterns, associations among sets of items in the transactiondatabases. Association rules are widely used in variousareas such as market,telecommunication networks,inventorycontrol and risk management etc. this paper leads the implementation of Apriori algorithm under the association rule mining technique of Data mining with using drought data. This algorithm is implemented with the help of Tangra([8], 2005) Data mining software.