Comparative Study Of APRIORI and FP Algorithm For Decision Making

Abstract

Decision Making is one of the hardest and most crucial skill and as there are many tools to support the leader of big companies to make an error free decisions, but ever since data mining has arrived in the world of business the job of such leaders has become much more crucial in order to take best decision. Apriori and FP Growth are two widely used algorithm to predict the data. These algorithm are used to do extensive research on the frequent itemsets in order to get possible results. This research contributes as an insight in selective perception on how we can prowess the apt of decision making using business analytics and data mining creating all the possible models and warnings for the leader of the company to take best fit decisions as per the given problem statement.