APPLICATION OF ASSOCIATION RULE MINING AND MINING SEQUENTIAL PATTERNS ON CRM PT ARMADA INTERNATIONAL MOTOR
DOI:
https://doi.org/10.33050/ccit.v11i1.562Keywords:
CRM, Association Rule Mining, Sequential Pattern MiningAbstract
Keeping in touch with customers is a step that must be done by the company to increase customer loyalty. CRM is a set of processes to acquire, maintain and enhance the values for customer satisfaction for the continued growth of corporate profits. With data mining for extracting knowledge, performance can be improved CRM in obtaining information about customers. In this study, carried out by the application of CRM design Association rule mining and sequential pattern mining techniques to provide recommendations to the customer service type PT Armada International Motor. CRM is built based mobile and able to provide effective services and recommendations for customers
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References
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[16] Kennedy, Aileen. (2006). Electronic Customer Relationship Management (eCRM): Opportunities And Challenges in a Digital World. Irish Marketing Review Volume 18 Number 1&2.
[17] Han, Jiawei. (2006).Data Mining : Concept and Techniques. Second Edition. University of Illinois at Urbana-Champaign.
[18] Adesh Kumar Pandey; V.K Srivastava; A. K Sinha; and S.A.M. Rizvi, 2010, Temperature Prediction Using Heuristic Data Mining on Two-Factor Fuzzy Time Series, www.ubicc.org
