GRAPGT: GRAdual patterns with gradualness threshold-Reference-Cited by-同舟云学术

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GRAPGT: GRAdual patterns with gradualness threshold

Published:2023-02-19 Issue:5 Volume:52 Page:525-545
ISSN:0308-1079
Container-title:International Journal of General Systems
language:en
Short-container-title:International Journal of General Systems

Author:

Chirmeni Boujike Michael¹²,Lonlac Jerry³,Tsopze Norbert¹²,Mephu Nguifo Engelbert⁴,Pauline Fotso Laure¹

Affiliation:

1. Department of Computer Science, University of Yaoundé I, Yaounde, Cameroon

2. IRD, UMMISCO, Sorbonne University, Paris, France

3. IMT Nord Europe, Institut Mines-Télécom, Centre for Digital Systems, Lille, France

4. University Clermont Auvergne, CNRS, ENSMSE, LIMOS, Clermont-Ferrand, France

Publisher

Informa UK Limited

Subject

Computer Science Applications,Modeling and Simulation,Information Systems,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/03081079.2022.2162049

Reference31 articles.

1. Ayouni, S., A. Laurent, S. B. Yahia, and P. Poncelet. 2010. “Mining Closed Gradual Patterns.” In Artificial Intelligence and Soft Computing, ICAISC, Part I, 267–274. Vol. 6113.

2. Ayouni, S., S. B. Yahia, A. Laurent, and P. Poncelet. 2010. “Fuzzy Gradual Patterns: What Fuzzy Modality for What Result.” In Second International Conference of Soft Computing and Pattern Recognition, SoCPaR, 224–230.

3. AN ALTERNATIVE APPROACH TO DISCOVER GRADUAL DEPENDENCIES

4. Calders, T., B. Goethals, and S. Jaroszewicz. 2006. “Mining Rank-Correlated Sets of Numerical Attributes” In ACM SIGKDD, International Conference on Knowledge Discovery and Data Mining, 96–105.

5. Di-Jorio, L., A. Laurent, and M. Teisseire. 2008. “Fast Extraction of Gradual Association Rules: A Heuristic Based Method.” In 5th International Conference on Soft Computing as Transdisciplinary Science and Technology, (CSTST), 205–210.

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