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- W770268794 abstract "Uncertainty is widely spread in real-world data. Uncertain data -in computer scienceis typically found in the area of sensor networks where the sensors sense the environment with certain error. Mining and visualizing uncertain data is one of the new challenges that face uncertain databases. This paper presents a new intelligent hybrid algorithm that applies fuzzy set theory into the context of the Self-Organizing Map to mine and visualize uncertain objects. The algorithm is tested in some benchmark problems and the uncertain tra cs in Named Data Networking (NDN). Experimental results indicate that the proposed algorithm is precise and e↵ective in terms of the applied performance criteria." @default.
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- W770268794 date "2014-01-01" @default.
- W770268794 modified "2023-09-27" @default.
- W770268794 title "Mining and visualizing uncertain data objects and named data networking traffics by fuzzy self-organizing map" @default.
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