Effective and efficient skyline query processing over attribute-order-preserving-free encrypted data in cloud-enabled databases

Cuzzocrea, Alfredo; Karras, Panagiotis; Vlachou, Akrivi

doi:10.1016/j.future.2021.08.008

Cited by 16 publications

(5 citation statements)

References 45 publications

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“…Currently, there is extensive research on incomplete data skyline queries in various environments. Examples include probability-based incomplete data skyline queries [19,20], skyline queries for incomplete data in cloud environments [21], skyline queries in incomplete dynamic databases [22], and skyline preference queries for incomplete data [23]. The technology for incomplete data skyline queries continues to advance.…”

Section: Related Workmentioning

confidence: 99%

Skyline query under multidimensional incomplete data based on classification tree

Yuan,

Zhang,

et al. 2024

J Big Data

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A method for skyline query of multidimensional incomplete data based on a classification tree has been proposed to address the problem of a large amount of useless data in existing skyline queries with multidimensional incomplete data, which leads to low query efficiency and algorithm performance. This method consists of two main parts. The first part is the proposed incomplete data weighted classification tree algorithm. In the first part, an incomplete data weighted classification tree is proposed, and the incomplete data set is classified using this tree. The data classified in the first part serves as the basis for the second step of the query. The second part proposes a skyline query algorithm for multidimensional incomplete data. The concept of optimal virtual points has been recently introduced, effectively reducing the number of comparisons of a large amount of data, thereby improving the query efficiency for incomplete data. Theoretical research and experimental analysis have shown that the proposed method can perform skyline queries for multidimensional incomplete data well, with high query efficiency and accuracy of the algorithm.

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Section: Related Workmentioning

confidence: 99%

Skyline query under multidimensional incomplete data based on classification tree

Yuan,

Zhang,

et al. 2024

J Big Data

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“…A skyline algorithm that combines a CPU with a GPU context is presented in [42]. Skyline queries over encrypted data have been studied in [43,44].…”

Section: Related Workmentioning

confidence: 99%

Decisive skyline queries for truly balancing multiple criteria

Vlachou

Doulkeridis

Rocha-Junior

et al. 2023

Data & Knowledge Engineering

Self Cite

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“…Currently, incomplete data skyline queries have been extensively studied in various environments. For example, skyline queries for probabilistic incomplete data [19][20], skyline queries for incomplete data in cloud environments [21], skyline queries in incomplete dynamic databases [22][23] and skyline preference queries for incomplete data [24], skyline query techniques for incomplete data are continuously being refined. The problem of skyline querying of incomplete data using crowdsourcing was studied in the literature [25].…”

Section: Introductionmentioning

confidence: 99%

skyline query under multidimensional incomplete data based on classification tree

Yuan,

Zhang,

et al. 2024

Preprint

View full text Add to dashboard Cite

A method for skyline query of multidimensional incomplete data based on a classification tree has been proposed to address the problem of a large amount of useless data in existing skyline queries with multi-dimensional incomplete data, which leads to low query efficiency and algorithm performance. This method consists of two main parts. The first part is the proposed incomplete data weighted classification tree algorithm. In the first part, an incomplete data weighted classification tree is proposed, and the incomplete data set is classified using this tree. The data classified in the first part serves as the basis for the second step of the query. The second part proposes a skyline query algorithm for multi-dimensional incomplete data. The concept of optimal virtual points has been recently introduced, effectively reducing the number of comparisons of a large amount of data, thereby improving the query efficiency for incomplete data. Theoretical research and experimental analysis have shown that the proposed method can perform skyline queries for multi-dimensional incomplete data well, with high query efficiency and accuracy of the algorithm.

show abstract

Effective and efficient skyline query processing over attribute-order-preserving-free encrypted data in cloud-enabled databases

Cited by 16 publications

References 45 publications

Skyline query under multidimensional incomplete data based on classification tree

Skyline query under multidimensional incomplete data based on classification tree

Decisive skyline queries for truly balancing multiple criteria

skyline query under multidimensional incomplete data based on classification tree

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