Mining Target-Oriented Fuzzy Correlation Rules to Optimize Telecom Service Management

TL;DR

This paper introduces an algorithm for mining target-oriented fuzzy correlation rules to enhance telecom service management, using fuzzy statistics and data mining on telecom data to improve customer service strategies.

Contribution

It presents a novel algorithm for extracting target-oriented fuzzy correlation rules from telecom data, aiding service providers in better customer relationship management.

Findings

Successfully applied the algorithm to a telecom database in Taiwan.

Demonstrated improved identification of related telecom services.

Supports better decision-making for telecom service providers.

Abstract

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 target-oriented 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.