@inproceedings{3f51ffc5c2ea4265a2458b2f7b5e76ac,
title = "Updating Top-k Dominate Individuals with Incomplete Data Addition",
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.",
author = "Wu, {Jimmy Ming Tai} and Ke Wang and Huizhen Yan and Chen, {Chao Chun} and Chen, {Pei Wei} and Lin, {Jerry Chun Wei}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Symposium on Information Theory, ISIT 2023 ; Conference date: 25-06-2023 Through 30-06-2023",
year = "2023",
doi = "10.1109/ISIT54713.2023.10206744",
language = "English",
series = "IEEE International Symposium on Information Theory - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2260--2265",
booktitle = "2023 IEEE International Symposium on Information Theory, ISIT 2023",
address = "United States",
}