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Using Apriori Algorithm To Improve Crm For Shopping Malls


Using Apriori Algorithm To Improve Crm For Shopping Malls
Authors : P.Sravanthi, M. Madhavi
Publication Date: 28-12-2012

Authors

Author(s):  P.Sravanthi, M. Madhavi

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Vol.1 - Issue 10 (December - 2012)

e-ISSN:   2278-0181

Abstract

At present, customer orientation has been one of the major concerns of commercial companies. Customer Relationship Management (CRM), influences the relationship of customers with commercial companies which inevitably contributes in the investments and profits of the company. Data mining discovers the frequent item sets of customers°« needs. The purpose of this research which has been done on the data base of a Shopping mall is to pattern the behaviours of customer°«s interests, in time intervals using the time series analysis. The patters change according to festival offers, seasonal discounts, different offers e.t.c. Discovering these patterns by taking into account the number of frequent item sets will be able to meet the demands of the customers properly. In this case the customer is changed to a regular customer and will increase the profits in the long term.

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