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At first, this paper introduces the CRM and data mining and the concept of Clustering Analysis, And then started from Customer relationship management's core values-Customer Value, deeply expound the meaning of customer value and it is in a key position in the customer relationship management. And in-depth study CRM Customer Value Analysis by applying Data Mining Technology, The purpose of in-depth...
Market competition among financial enterprises is becoming fierce day by day. The crux of the matte is to create more customer value. The traditional model of HR's value chain ignores the costumer value. There are the enormous defects. Customer value is the core link of service and management, the Keys for the sustainable development of financial industries. The HR Management Model of Financial Industries...
In this paper, considering customer value characteristic, an analysis system based on rough sets theory and decision tree is proposed. The degree of dependency of decision attribute to condition attribute, based on rough sets theory, is used as a heuristic in decision tree for selecting the attribute that will best separate the samples into individual classes. Customer value analysis system is introduced...
From the angle of customer value and customer behavior, this paper utilizes data mining methods to segment the clients in security industry. Clustering algorithm is a kind of customer segmentation methods commonly used in data mining. In this article, a two-stage integration of K-means clustering algorithm and SOM network is applied to segment customers and finally forms groups of clients with different...
This paper introduces the service-mining based on customer value analysis. First, we give a brief description of the customer value and the definition, and function of services mining. Starting from the creation process of customer value, we propose the service-mining model based on customer value analysis to promote customer value. Taking customer segmentation as an example, in combination with KANO...
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