PROPOSED HIGHLY ROBUST AND EFFICIENT DATA-MINING MODEL FOR KNOWLEDGE DATA DISCOVERY PROCESS

Abstract

Today we are living in the age of data-science where we have to handle plenty amount of heterogeneous data-sets. Sometimes it can be as simple as comma separated value (CSV) files where as it can be complex like images also. Apart from that even if it is too simple like csv it’s very tedious task to grab the statistics of the same that can be utilized for the research purposes. So, we have devised a statistical model to grab better statistics on the same. This model is used to capture statistics based on csv, excels, images etc. using classification and/ or clustering algorithm using a control statement/ keyword. Furthermore, the same can be used for the purpose of devising the association rule-mining using Apriori algorithm.