Retaining and Increasing Customer Profitability Using K-Means and Apriori Algorithm

Provided by: Journal of Theoretical and Applied Information Technology
Topic: Data Management
Format: PDF
Appropriate strategy is an absolute must in the tight business competition of today. Many methods are used in business to predict and process data so that information and knowledge needs of the business can be obtained. Data mining is often used as a solution to this problem. Data mining is used to explore the hidden information in the data warehouse, and able to show a pattern of behavior of customers in their daily life associated with the company. K-Means and association rule are two techniques of the many techniques contained in the data mining algorithm that can be used as a basis for analysis to improve profitability.

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