A Formal-Concept-Lattice Driven Approach for Skyline Refinement

Author:

Haddache Mohamed,Hadjali Allel,Azzoune Hamid

Publisher

Springer International Publishing

Reference30 articles.

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

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4. B$$\ddot{o}$$rzs$$\ddot{o}$$nyi, S., Kossmann, D., Stocker, K.: The skyline operator. In: Proceedings of the 17th International Conference on Data Engineering, 2–6 April, Heidelberg, Germany, pp. 421–430 (2001)

5. Burusco, A., Fuentes-González, R.: The study of the l-fuzzy concept lattice. Mathware Soft Comput. 3(1), 208–209 (1994)

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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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