Reducing Skyline Query Results: An Approach Based on Fuzzy Satisfaction of Concepts

Author:

Haddache Mohamed,Hadjali Allel,Azzoune Hamid

Publisher

Springer International Publishing

Reference23 articles.

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2. Balke, W., Güntzer, U., Lofi, C.: User interaction support for incremental refinement of preference-based queries. In: Proceedings of the First International Conference on Research Challenges in Information Science (RCIS), Ouarzazate, Morocco, 23–26 April, pp. 209–220 (2007)

3. Belohlávek, R.: Fuzzy Galois connections. Math. Log. Q. 45, 497–504 (1999)

4. Börzsönyi, S., Kossmann, D., Stocker, K.: The skyline operator. In: Proceedings of the 17th International Conference on Data Engineering, Heidelberg, Germany, 2–6 April, pp. 421–430 (2001)

5. Chan, C.Y., Jagadish, H.V., Tan, K., Tung, A.K.H., Zhang, Z.: Finding k-dominant skylines in high dimensional space. In: Proceedings of the International Conference on Management of Data (ACM SIGMOD), Chicago, Illinois, USA, 27–29 June, pp. 503–514 (2006)

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1. Skyline refinement exploiting fuzzy formal concept analysis;International Journal of Intelligent Computing and Cybernetics;2021-04-29

2. Concept Dissimilarity Based Approach for Skyline Relaxation;2020 International Conference on Advanced Aspects of Software Engineering (ICAASE);2020-11-28

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