Article

Application of Data Mining in Fault Diagnosis Based on Ontology

Authors:

Xiangdan Hou,

Junhua Gu,

Xueqin Shen,

Weili YanAuthors Info & Claims

ICITA '05: Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05) Volume 2 - Volume 02

Pages 260 - 263

https://doi.org/10.1109/ICITA.2005.70

Published: 04 July 2005 Publication History

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Abstract

In this paper, a new kind of automated fault diagnosis algorithm is proposed. It is a new data-mining algorithm with ontology-based. This algorithm doesnýt only find low-level rules which usually not interesting, but also can find high-level rules which described by high-level concepts. In this paper, we use ontologies provide a mechanism, in data mining, by which domain specific knowledge may be included to aid the discovery process and can find multi- level classification rules, the rules are described by high-level concepts. So it can provide more interesting rules for enterprise. Finally, a study case is given to explain the practical application with the fault diagnosis bases on ontology, and is given encouraging results.

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Mohammed MAzzeddine DYoussef BTaoufiq GChbeir RManolopoulos YMammana VModena ETraina ASalviano OBadr YAndres F(2015)SEMMDPREFProceedings of the 7th International Conference on Management of computational and collective intElligence in Digital EcoSystems10.1145/2857218.2857223(29-34)Online publication date: 25-Oct-2015
https://dl.acm.org/doi/10.1145/2857218.2857223
Tung YTseng SWeng JLee TLiao ATsai W(2010)A rule-based CBR approach for expert finding and problem diagnosisExpert Systems with Applications: An International Journal10.1016/j.eswa.2009.07.03737:3(2427-2438)Online publication date: 1-Mar-2010
https://dl.acm.org/doi/10.1016/j.eswa.2009.07.037
Bellandi AFurletti BGrossi VRomei A(2008)Ontological support for Association Rule MiningProceedings of the 26th IASTED International Conference on Artificial Intelligence and Applications10.5555/1712759.1712781(110-115)Online publication date: 6-Feb-2008
https://dl.acm.org/doi/10.5555/1712759.1712781

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Application of Data Mining in Fault Diagnosis Based on Ontology

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ICITA '05: Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05) Volume 2 - Volume 02

July 2005

1538 pages

ISBN:0769523161

Publisher

IEEE Computer Society

United States

Publication History

Published: 04 July 2005

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Mohammed MAzzeddine DYoussef BTaoufiq GChbeir RManolopoulos YMammana VModena ETraina ASalviano OBadr YAndres F(2015)SEMMDPREFProceedings of the 7th International Conference on Management of computational and collective intElligence in Digital EcoSystems10.1145/2857218.2857223(29-34)Online publication date: 25-Oct-2015
https://dl.acm.org/doi/10.1145/2857218.2857223
Tung YTseng SWeng JLee TLiao ATsai W(2010)A rule-based CBR approach for expert finding and problem diagnosisExpert Systems with Applications: An International Journal10.1016/j.eswa.2009.07.03737:3(2427-2438)Online publication date: 1-Mar-2010
https://dl.acm.org/doi/10.1016/j.eswa.2009.07.037
Bellandi AFurletti BGrossi VRomei A(2008)Ontological support for Association Rule MiningProceedings of the 26th IASTED International Conference on Artificial Intelligence and Applications10.5555/1712759.1712781(110-115)Online publication date: 6-Feb-2008
https://dl.acm.org/doi/10.5555/1712759.1712781

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Recommendations

Ontology-based Fault Diagnosis: A Decade in Review

Ontology Knowledge Mining Based Association Rules Ranking

The Data Mining OPtimization Ontology

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