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Applications of Data Mining in CRM Based on Web Log

机译:基于Web日志的CRM中数据挖掘的应用

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Nowadays, under intensified competition, winning and keeping customers is becoming more and more important. Company must focus on building long-term relationships with their customers for continuously adding market share. For defeating other financial service providers, the banks should have the ability to address their customers' preferences and priorities effectively, and should strategically use this understanding in every area to establish and strengthen long-term customer relationships. Consequently, systematic and web-based customer relationship management (CRM) will be a key factor to future success for financial service institutions. This thesis researches explored advanced data mining technologies for building a better predictive model, and focused on providing an integrated approach to improve performance of the prediction.
机译:如今,在加强竞争下,赢得和保持客户变得越来越重要。公司必须侧重于与客户建立长期关系,以便不断增加市场份额。为了击败其他金融服务提供商,银行应该有能力有效地解决客户的偏好和优先事项,并应对每个地区的战略性地使用这种理解来建立和加强长期客户关系。因此,系统和基于网络的客户关系管理(CRM)将是财务服务机构未来成功的关键因素。本文研究探索了高级数据挖掘技术,用于构建更好的预测模型,并专注于提供一种综合方法来提高预测性能。

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