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Mining Target-Oriented Fuzzy Correlation Rules to Optimize Telecom Service Management
To optimize telecom service management, it is necessary that information about telecom services is highly related to the most popular telecom service. To this end, we propose an algorithm for mining targetoriented fuzzy correlation rules. In this paper, we show that by using the fuzzy statistics analysis and the data mining technology, the target-oriented fuzzy correlation rules can be obtained from a given database. We conduct an experiment by using a sample database from a telecom service provider in Taiwan. Our work can be used to assist the telecom service provider in providing the appropriate services to the customers for better customer relationship management.
Keywords
Telecom Services, Target-Oriented Rules, Fuzzy Correlation Rules, Data Mining, Customer Relationship Management.
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