Abstract
1. Abstract In this paper, we used the knowledge discovery in databases and data mining, one of the data-based decision support techniques to help labeling customers in the automobile insurance industry. In most data mining application cases, major tasks including data preparation, data preprocessing, data transformation, data mining, interpretation, application and evaluation, are required. The results of a case study are presented that knowledge discovery of databases and data mining is used to explore decision rules for an automobile insurance company. The decision rules can be used to label the customers as “bad” or “good” for insurance policies .
Highlights
Customer relationship management (CRM) includes a set of processes and it enables systems to support a business strategy to build long term, profitable relationships with specific customers [11]
In Ture et al ([22]), they analyzed the simultaneous relationship between risk factors for breast cancer with five decision tree algorithms(classification and regression tree (C&RT), Chi-squared automatic interaction detector (CHAID), quick, unbiased, efficient statistical tree (QUEST), Commercial version 4.5(C4.5) and Interactive Dichotomizer version 3 (ID3))
In regard to the usability of knowledge discovery (KD)/data mining (DM), we have presented the discovered knowledge such as what a rule say, how to explain a rule, what information a rule can get, etc
Summary
Customer relationship management (CRM) includes a set of processes and it enables systems to support a business strategy to build long term, profitable relationships with specific customers [11]. Operational CRM apply to the automation of business processes, while analytical CRM refers to the analysis of customer characteristics and behaviors to support the organization’s customer management strategies. Data mining tools are a popular means of analyzing customer data within the analytical CRM framework. Proper data mining tools, which are good at exploring and identifying practical information and knowledge from customer databases, are one of the best supporting CRM decisions tools [1]. Iranian companies due to the exclusion of services in the hand of governmental section aren’t familiar with the importance of customer data and targeting the best customers. They just store their customer data without any expectation and concern.
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