Zobrazeno 1 - 10
of 133
pro vyhledávání: '"Yongxin Tong"'
Publikováno v:
大数据, Vol 9, Pp 32-43 (2023)
k-dominant skyline is a prevailing skyline query which has widespread applications in multi-criteria decision making and recommendation.As these applications continuously scale up, there is an increasing demand to support k-dominant skyline over a da
Externí odkaz:
https://doaj.org/article/c6320e1457cb4c999c2354bf2c26a5c1
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
BackgroundA sharp rise in household consumption of disinfectants triggered by COVID-19 pandemic has generated tremendous environmental burden and risks of disinfectant emissions in the post-pandemic period. To address this emerging challenge, replaci
Externí odkaz:
https://doaj.org/article/973465ccc292454588451680ef6c80d4
Publikováno v:
智能科学与技术学报, Vol 4, Pp 29-44 (2022)
Crowd intelligence is emerging as a new artificial intelligence paradigm owing to the rapid development of the Internet.However, the data isolation and data privacy preservation problems make it difficult to share data among the crowd and to build cr
Externí odkaz:
https://doaj.org/article/7d3509f979784aae866fac1268d31729
Publikováno v:
ICDE
Dynamic ridesharing refers to services that arrange one-time shared rides on short notice. It underpins various real-world intelligent transportation applications such as car-pooling, food delivery and last-mile logistics. A core operation in dynamic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9fb17950f635381246a8a4ed468b24f
https://doi.org/10.1109/tkde.2020.3027200
https://doi.org/10.1109/tkde.2020.3027200
Autor:
Xuchen Pan, Yongxin Tong, Chunbo Xue, Zimu Zhou, Junping Du, Yuxiang Zeng, Yexuan Shi, Xiaofei Zhang, Lei Chen, Yi Xu, Ke Xu, Weifeng Lv
Publikováno v:
Xiaofei Zhang
The increasing concerns on data security limit the sharing of data distributedly stored at multiple data owners and impede the scale of spatial queries over big urban data. In response, data federation systems have emerged to perform secure queries a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f35df9e3bdd99335f7ed396bfa604ee1
https://doi.org/10.14778/3554821.3554849
https://doi.org/10.14778/3554821.3554849
Publikováno v:
ACM Transactions on Database Systems. Feb2022, Vol. 47 Issue 1, p1-48. 48p.
Autor:
Yongxin Tong, Xuchen Pan, Yuxiang Zeng, Yexuan Shi, Chunbo Xue, Zimu Zhou, Xiaofei Zhang, Lei Chen, Yi Xu, Ke Xu, Weifeng Lv
Publikováno v:
Xiaofei Zhang
Data isolation has become an obstacle to scale up query processing over big data, since sharing raw data among data owners is often prohibitive due to security concerns. A promising solution is to perform secure queries over a federation of multiple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a04a647efb945bc601d212e7c4f7ac0
https://doi.org/10.14778/3514061.3514064
https://doi.org/10.14778/3514061.3514064
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 34:723-735
Transportation recommendation is one important map service in navigation applications. Previous transportation recommendation solutions fail to deliver satisfactory user experience because their recommendations only consider routes in one transportat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e73ee794dee40fbdf336c15a9f8acf0e
https://doi.org/10.1109/tkde.2020.2985954
https://doi.org/10.1109/tkde.2020.2985954
Autor:
Kaining Zhang, Yongxin Tong, Yexuan Shi, Yuxiang Zeng, Yi Xu, Lei Chen, Zimu Zhou, Ke Xu, Weifeng Lv, Zhiming Zheng
Publikováno v:
Database Systems for Advanced Applications ISBN: 9783031306365
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd28fffe830a13201f6b14643059d314
https://doi.org/10.1007/978-3-031-30637-2_23
https://doi.org/10.1007/978-3-031-30637-2_23
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 13:1-3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4053aba18d14c13c11a458999097158
https://doi.org/10.1145/3514223
https://doi.org/10.1145/3514223