Stream Data and String Analysis in Marketing

Abstract

The purpose of this paper is to present a business application for knowledge discovery from stream data using string analysis technique to find useful rules in visiting patterns of sales area. In this paper we have focused on stationary state of customer at a certain sales area in a store. We have applied string analysis technique, EBONSAI, to sales area visiting patterns to effectively deal with huge stream data. In experiments we can extract useful rules and knowledge about charactaristics of sales area visiting patterns and verify effectiveness of our method. And we discuss about prediction accuracy and computing time and clarify technical problems of EBONSAI in future.