Customers Behavior Modeling by Semi-Supervised Learning in Customer Relationship Management

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Provided by: AICIT
Topic: Big Data
Format: PDF
Leveraging the power of increasing amounts of data to analyze customer base for attracting and retaining the most valuable customers is a major problem facing companies in this information age. Data mining technologies extract hidden information and knowledge from large data stored in databases or data warehouses, thereby supporting the corporate decision making process. CRM uses data mining (one of the elements of CRM) techniques to interact with customers. This paper investigates the use of a technique, semi-supervised learning, for the management and analysis of customer-related data warehouse and information.
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