Adept strategy for mining of association rules from inter transactional domains

Abstract

The world revolves around the information stored by various users in different environments Data can be of different forms such as informative sequence notification of specific transaction details over constraints and description of events in any organization There are different modes of operations and activities with different functionalities involved in an organization environment The history of data of every organization is recorded in a reserved storage space It is highly impossible for any newlineorganization to become prosperous without maintaining its previous transactional history An organization which primarily depends on the interaction of clients can t maintain its level of standard without getting proper feedbacks from its client s Obviously no organization can get flourished without considering its clients point of view Every client in an organization is unique in his her characteristics curiosity budget and mode of newlinetransaction with remarkable constraints A comprehensive knowledge can be gained by analyzing similarities and dissimilarities among different transactions of clients in an organizational environment The needs desires and interests of clients are never alike and are different to be categorized Therefore a quantitative as well as qualitative aspect of transaction needs to be considered in association rule mining on a large dataset newline newline