An ontology-supported database refurbishing technique and its application in mining actionable troubleshooting rules from real-life databases

Authors:
Bong-Horng Chu;Cheng-En Lee;Cheng-Seen Ho
Affiliations:
Telecommunication Laboratories, Chunghwa Telecom, 11 Lane 74, Hsinyi Road, Section 4, Taipei 10682, Taiwan and Department of Electronic Engineering, National Taiwan University of Science and Techn ...;Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, 43 Keelung Road, Section 4, Taipei 10607, Taiwan;Department of Electronic Engineering, Hwa Hsia Institute of Technology, 111 Gongjhuan Road, Chungho, Taipei 23568, Taiwan
Venue:
Engineering Applications of Artificial Intelligence
Year:
2008

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Abstract

This article describes how database refurbishing and data mining technologies can be used to automatically construct a rule base for customer service systems that support troubleshooting in the global system for mobile communications (GSM) domain. With the support of the GSM troubleshooting ontology, a text-mining-empowered data refurbishing technique can successfully ''refurbish'' a real-life customer service database. The refurbished database then can support an association rule-mining algorithm that utilizes multiple minimum supports to discover better troubleshooting rules. We have developed an intelligent GSM troubleshooting system based on these techniques. Our experimental results with the system show a substantial improvement in both the quality and the quantity of the mined troubleshooting rules.