ASSOCIATION RULE DATA MINING APPROACHES FOR SALE TRANSACTION USING FP-GROWTH

nattayaporn Chunmatcha

Abstract


The purpose of this research is to find the possible causal relationship between each of the large supermarkets’ sale transactions. The obtained data of a number of each individual customer purchase transactions is analyzed, item by item, according to “Association Rules” using “FP-Growth” technique.
The research’s result has shown the capability of forecasting the customers’ demand which can be regulated into 11 rules with reliability coefficient of 83%. Such result can be implemented to the decisions making about offering products which would meet the customers’ individual demand and, therefore; earning
the customers’ satisfaction as one to the appropriate and effective marketing strategies.


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SCIENCE  AND  TECHNOLOGY  RMUTT  JOURNAL
คณะวิทยาศาสตร์และเทคโนโลยี
Faculty of Science and Technology
http://www.sci.rmutt.ac.th/stj