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An Efficient CRM-Data Mining Framework for the Prediction of Customer Behaviour

机译:高效的CRM-数据挖掘框架,用于预测客户行为

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摘要

CRM-data mining framework establishes close customer relationships and manages relationship between organizations and customers in today's advanced world of businesses. Data mining has gained popularity in various CRM applications in recent years and classification model is an important data mining technique useful in the field. The model is used to predict the behaviour of customers to enhance the decision-making processes for retaining valued customers. An efficient CRM-data mining framework is proposed in this paper and two classification models, Na?ve Bayes and Neural Networks are studied to show that the accuracy of Neural Network is comparatively better.
机译:CRM数据挖掘框架建立了紧密的客户关系,并管理当今商业世界中组织与客户之间的关系。近年来,数据挖掘已在各种CRM应用程序中获得普及,分类模型是该领域中一种重要的数据挖掘技术。该模型用于预测客户的行为,以增强决策过程以保留有价值的客户。本文提出了一种有效的CRM数据挖掘框架,并研究了朴素贝叶斯和神经网络这两个分类模型,以证明神经网络的准确性相对较好。

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