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Data Mining Algorithms and Techniques Research in CRM Systems

机译:CRM系统中的数据挖掘算法与技术研究

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Data mining has become an increasingly powerful technology, being applied in a variety of areas, from investment management to astronomy. The importance and potential of this technology has been recognized in marketing, banking, health, telecommunications, etc. for applications such as cost analysis, efficiency promoting, customer vulnerability analysis, customer relationship management. Data mining can be considered an interdisciplinary research which employs applied mathematics and computational statistics. The main goal of the paper is to illustrate the importance of the optimization methods used in data mining process, as well as the specific predictive models and how they work in this field. Also, the customer relationship management systems have been developed lately, offering new opportunities for a strong profitable relation between a business and clients.
机译:数据挖掘已成为一种越来越强大的技术,已应用于从投资管理到天文学的各个领域。该技术的重要性和潜力已在市场,银行,健康,电信等领域用于成本分析,效率提升,客户脆弱性分析,客户关系管理等应用中。数据挖掘可以被视为跨学科的研究,它采用了应用数学和计算统计学。本文的主要目的是说明数据挖掘过程中使用的优化方法的重要性,以及具体的预测模型及其在该领域的工作方式。此外,客户关系管理系统最近已经开发,为在企业和客户之间建立牢固的盈利关系提供了新的机会。

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