research-article

Finding Probabilistic k-Skyline Sets on Uncertain Data

Authors:

Jun LuoAuthors Info & Claims

CIKM '15: Proceedings of the 24th ACM International on Conference on Information and Knowledge Management

Pages 1511 - 1520

https://doi.org/10.1145/2806416.2806452

Published: 17 October 2015 Publication History

Abstract

Skyline is a set of points that are not dominated by any other point. Given uncertain objects, probabilistic skyline has been studied which computes objects with high probability of being skyline. While useful for selecting individual objects, it is not sufficient for scenarios where we wish to compute a subset of skyline objects, i.e., a skyline set. In this paper, we generalize the notion of probabilistic skyline to probabilistic k-skyline sets (Pk-SkylineSets) which computes k-object sets with high probability of being skyline set. We present an efficient algorithm for computing probabilistic k-skyline sets. It uses two heuristic pruning strategies and a novel data structure based on the classic layered range tree to compute the skyline set probability for each instance set with a worst-case time bound. The experimental results on the real NBA dataset and the synthetic datasets show that Pk-SkylineSets is interesting and useful, and our algorithms are efficient and scalable.

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Cited By

Zeng SHsu CHarn LLiu YLiu Y(2024)Efficient and Privacy-Preserving Skyline Queries Over Encrypted Data Under a Blockchain-Based Audit ArchitectureIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2024.337360236:9(4603-4617)Online publication date: Sep-2024
https://doi.org/10.1109/TKDE.2024.3373602
Wang WZheng YWang SHua ZXu LGao Y(2024)BopSkyline: Boosting Privacy-Preserving Skyline Query Service in the CloudComputers & Security10.1016/j.cose.2024.103803(103803)Online publication date: Mar-2024
https://doi.org/10.1016/j.cose.2024.103803
Kuang YLiu AQu JFang JZhang XZhao L(2024)Efficient and Secure Skyline Query Over Horizontal Data FederationDatabase Systems for Advanced Applications10.1007/978-981-97-5562-2_7(105-121)Online publication date: 27-Oct-2024
https://doi.org/10.1007/978-981-97-5562-2_7
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Index Terms

Finding Probabilistic k-Skyline Sets on Uncertain Data
1. Information systems
  1. Information systems applications

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cover image ACM Conferences

CIKM '15: Proceedings of the 24th ACM International on Conference on Information and Knowledge Management

October 2015

1998 pages

ISBN:9781450337946

DOI:10.1145/2806416

General Chairs:
James Bailey
The University of Melbourne
,
Alistair Moffat
The University of Melbourne
,
Program Chairs:
Charu C. Aggarwal
IBM
,
Maarten de Rijke
University of Amsterdam
,
Ravi Kumar
Google
,
Vanessa Murdock
Microsoft
,
Timos Sellis
RMIT University
,
Jeffrey Xu Yu
Chinese University of Hong Kong

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 17 October 2015

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CIKM'15

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CIKM'15: 24th ACM International Conference on Information and Knowledge Management

October 18 - 23, 2015

Melbourne, Australia

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CIKM '15 Paper Acceptance Rate 165 of 646 submissions, 26%;

Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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Cited By

Zeng SHsu CHarn LLiu YLiu Y(2024)Efficient and Privacy-Preserving Skyline Queries Over Encrypted Data Under a Blockchain-Based Audit ArchitectureIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2024.337360236:9(4603-4617)Online publication date: Sep-2024
https://doi.org/10.1109/TKDE.2024.3373602
Wang WZheng YWang SHua ZXu LGao Y(2024)BopSkyline: Boosting Privacy-Preserving Skyline Query Service in the CloudComputers & Security10.1016/j.cose.2024.103803(103803)Online publication date: Mar-2024
https://doi.org/10.1016/j.cose.2024.103803
Kuang YLiu AQu JFang JZhang XZhao L(2024)Efficient and Secure Skyline Query Over Horizontal Data FederationDatabase Systems for Advanced Applications10.1007/978-981-97-5562-2_7(105-121)Online publication date: 27-Oct-2024
https://doi.org/10.1007/978-981-97-5562-2_7
Wang ZDing XLu JZhang LZhou PChoo KJin H(2023)Efficient Location-Based Skyline Queries With Secure R-Tree Over Encrypted DataIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2023.325388335:10(10436-10450)Online publication date: 1-Oct-2023
https://doi.org/10.1109/TKDE.2023.3253883
Zheng YWang WWang SJia XHuang HWang C(2023)SecSkyline: Fast Privacy-Preserving Skyline Queries Over Encrypted Cloud DatabasesIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2022.322059535:9(8955-8967)Online publication date: 1-Sep-2023
https://doi.org/10.1109/TKDE.2022.3220595
Hao WLiu SLv CWang YWang J(2023)Efficient and privacy-preserving multi-party skyline queries in online medical primary diagnosisJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2023.10163735:8(101637)Online publication date: Sep-2023
https://doi.org/10.1016/j.jksuci.2023.101637
Liu JXiong LPei JLuo JZhang HYu W(2021)Group-Based Skyline for Pareto Optimal GroupsIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2019.296034733:7(2914-2929)Online publication date: 1-Jul-2021
https://doi.org/10.1109/TKDE.2019.2960347
Ding XWang ZZhou PChoo KJin H(2021)Efficient and Privacy-Preserving Multi-Party Skyline Queries Over Encrypted DataIEEE Transactions on Information Forensics and Security10.1109/TIFS.2021.310945916(4589-4604)Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1109/TIFS.2021.3109459
Zhang XLu RShao JZhu HGhorbani A(2021)Continuous Probabilistic Skyline Query for Secure Worker Selection in Mobile CrowdsensingIEEE Internet of Things Journal10.1109/JIOT.2021.30596378:14(11758-11772)Online publication date: 15-Jul-2021
https://doi.org/10.1109/JIOT.2021.3059637
Liu JYang JXiong LPei JLuo JGuo YMa SFan C(2020)Skyline Diagram: Efficient Space Partitioning for Skyline QueriesIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2019.292391433:1(271-286)Online publication date: 7-Dec-2020
https://dl.acm.org/doi/10.1109/TKDE.2019.2923914
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