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

研究成果: Conference contribution

摘要

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.

原文English
主出版物標題2023 IEEE International Symposium on Information Theory, ISIT 2023
發行者Institute of Electrical and Electronics Engineers Inc.
頁面2260-2265
頁數6
ISBN(電子)9781665475549
DOIs
出版狀態Published - 2023
事件2023 IEEE International Symposium on Information Theory, ISIT 2023 - Taipei, Taiwan
持續時間: 2023 6月 252023 6月 30

出版系列

名字IEEE International Symposium on Information Theory - Proceedings
2023-June
ISSN(列印)2157-8095

Conference

Conference2023 IEEE International Symposium on Information Theory, ISIT 2023
國家/地區Taiwan
城市Taipei
期間23-06-2523-06-30

All Science Journal Classification (ASJC) codes

  • 理論電腦科學
  • 資訊系統
  • 建模與模擬
  • 應用數學

指紋

深入研究「Updating Top-k Dominate Individuals with Incomplete Data Addition」主題。共同形成了獨特的指紋。

引用此