Updating Top-k Dominate Individuals with Incomplete Data Addition

Jimmy Ming Tai Wu, Ke Wang, Huizhen Yan, Chao Chun Chen, Pei Wei Chen, Jerry Chun Wei Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Top-k dominance (TKD) query is an extended query method of skyline query and top-k query, which reveals the top-k dominant individuals in an incomplete dataset by analyzing the dominance relationships between individuals and is a common decision tool in intelligent recommendation applications. This research proposes two parallel query algorithms based on Spark computing engine to address the shortcomings of the parallel top-k-dominated query algorithms for dynamic incomplete datasets. The designed model achieves good performance in terms of runtime performance compared to previous studies.

Original languageEnglish
Title of host publication2023 IEEE International Symposium on Information Theory, ISIT 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2260-2265
Number of pages6
ISBN (Electronic)9781665475549
DOIs
Publication statusPublished - 2023
Event2023 IEEE International Symposium on Information Theory, ISIT 2023 - Taipei, Taiwan
Duration: 2023 Jun 252023 Jun 30

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
Volume2023-June
ISSN (Print)2157-8095

Conference

Conference2023 IEEE International Symposium on Information Theory, ISIT 2023
Country/TerritoryTaiwan
CityTaipei
Period23-06-2523-06-30

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Information Systems
  • Modelling and Simulation
  • Applied Mathematics

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