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Selecting skyline stars over uncertain databases: Semantics and refining methods in the evidence theory setting

  • Published:2017-08 Issue: Volume:57 Page:88-101
  • ISSN:1568-4946
  • Container-title:Applied Soft Computing
  • language:en
  • Short-container-title:Applied Soft Computing

Author:

Elmi Sayda,Bach Tobji Mohamed Anis,Hadjali Allel,Ben Yaghlane Boutheina

Publisher

Elsevier BV

Subject

Software

Reference40 articles.

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2. Underground coal mine monitoring with wireless sensor networks;Li;ACM Trans. Sens. Netw.,2009

3. The gauss-tree: efficient object identification in databases of probabilistic feature vectors;Bohm,2006

4. Querying imprecise data in moving object environments;Cheng;IEEE Trans. Knowl. Data Eng.,2004

5. Robust and fast similarity search for moving object trajectories;Chen,2005

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1. WPEviRC: A Multi-rules-based Classifier for Evidential Databases Without Class Label Ambiguities;International Journal on Artificial Intelligence Tools;2022-11

2. Efficient Skyline Computation on Uncertain Dimensions;IEEE Access;2021

3. Associative Classifier for Evidential Data;2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI);2020-11

4. Efficient Skyline Computation over Incomplete and Uncertain Data for Decision Making Systems;2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI);2020-11

5. On indexing evidential data;International Journal of Approximate Reasoning;2019-03
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