1 research outputs found
CSHURI - Modified HURI algorithm for Customer Segmentation and Transaction Profitability
Association rule mining (ARM) is the process of generating rules based on the
correlation between the set of items that the customers purchase.Of late, data
mining researchers have improved upon the quality of association rule mining
for business development by incorporating factors like value (utility),
quantity of items sold (weight) and profit. The rules mined without considering
utility values (profit margin) will lead to a probable loss of profitable
rules. The advantage of wealth of the customers' needs information and rules
aids the retailer in designing his store layout[9]. An algorithm CSHURI,
Customer Segmentation using HURI, is proposed, a modified version of HURI [6],
finds customers who purchase high profitable rare items and accordingly
classify the customers based on some criteria; for example, a retail business
may need to identify valuable customers who are major contributors to a
company's overall profit. For a potential customer arriving in the store, which
customer group one should belong to according to customer needs, what are the
preferred functional features or products that the customer focuses on and what
kind of offers will satisfy the customer, etc., finds the key in targeting
customers to improve sales [9], which forms the base for customer utility
mining.Comment: 11 pages, 5 tables, 1 figure, IJCSEIT-201