Design of modified ripper algorithm to predict customer churn
نویسندگان
چکیده
منابع مشابه
A Technique to Exploit Free-Form Notes to Predict Customer Churn
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In present days there is huge competition between various companies in the industry. Due to this companies pay more attention towards their customers rather than their product. They become aware of customer churn issue. Basically when a customer ceases one’s relationship with the company, this misfortune of relationship is known as customer churn. Various data mining approaches are used to pred...
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Customer churn has emerged as a critical issue for Customer Relationship Management and customer retention in the telecommunications industry, thus churn prediction is necessary and valuable to retain the customers and reduce the losses. Recently rule-based classification methods designed transparently interpreting the classification results are preferable in customer churn prediction. However ...
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Customer churn has become a critical issue, especially in the competitive and mature credit card industry. From an economic and risk management perspective, it is important to understand customer characteristics in order to retain customers and differentiate high-quality credit customers from bad ones. However, studies have not yet adequately introduced rules based on customer characteristics a...
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Customer churn is defined as the loss of customers because they move out to competitors. It is an expensive problem in many industries since acquiring new customers costs five to six times more than retaining existing ones [1-4]. In particular, in telecommunication companies, churn costs roughly $10 billion per year [5]. A wide range of supervised machine learning classifiers have been develope...
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ژورنال
عنوان ژورنال: International Journal of Engineering & Technology
سال: 2015
ISSN: 2227-524X
DOI: 10.14419/ijet.v4i2.4221