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

Author:

Chu Bong-Horng,Lee Cheng-En,Ho Cheng-Seen

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference24 articles.

1. Agrawal, R., Srikant, R., 1994. Fast algorithms for mining association rules. In: Proceedings of the 20th International Conference on Very Large Databases, pp. 487–499.

2. Chen, K.J., Liu, S.H., 1992. Word identification for Mandarin Chinese sentences. In: Proceedings of the 15th International Conference on Computational Linguistics (COLING-92), Nantes, France, pp. 101–107.

3. Chu, B.H., 1995. A graph-theoretical method for verifying, validating and refining constraint-based knowledge bases. Master Thesis, Department of Electronic Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.

4. Chu, B.H., Liao, I.K., Ho, C.S., 2005. An ontology-supported database refurbishing technique and its application in mining GSM trouble shooting rules. In: Proceedings of the Ninth International Conference on Knowledge-based Intelligent Information and Engineering Systems (KES 2005), Lecture Notes in artificial Intelligence, vol. 3683, Springer, Berlin, pp. 997–1004.

5. Coppin, B., 2004. Rules and expert systems. In: Artificial Intelligence Illuminated. Jones and Bartlett, Sudbury, MA, pp. 243–249.

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