Zobrazeno 1 - 10
of 164
pro vyhledávání: '"ZHIFENG BAO"'
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 35:3712-3726
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8f436ee9675bbcc62062367a79808a0
https://doi.org/10.1109/tkde.2022.3141368
https://doi.org/10.1109/tkde.2022.3141368
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 14:1-28
A multi-attribute trajectory consists of a spatio-temporal trajectory and a set of descriptive attributes. Such data enrich the representation of traditional spatio-temporal trajectories to have comprehensive knowledge of moving objects. Range query
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::312dcc198650f409b9e041bb0affc3a7
https://doi.org/10.1145/3555811
https://doi.org/10.1145/3555811
Publikováno v:
Proceedings of the VLDB Endowment. 16:393-405
In this paper, we revisit the problem of route travel time estimation on a road network and aim to boost its accuracy by capturing and utilizing spatio-temporal features from four significant aspects: heterogeneity, proximity, periodicity and dynamic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9aec46d47b02d02fa8ac7dcf0f83302
https://doi.org/10.14778/3570690.3570691
https://doi.org/10.14778/3570690.3570691
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 34:5278-5292
Triangle count is a critical parameter in mining relationships among people in social networks. However, directly publishing the findings obtained from triangle counts may bring potential privacy concern, which raises great challenges and opportuniti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::038f9518d777f49e5d80b1228b5b1b04
https://doi.org/10.1109/tkde.2021.3052827
https://doi.org/10.1109/tkde.2021.3052827
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 34:4484-4498
Reorganizing bus frequencies to cater for actual travel demands can signicantly save the cost of the public transport system. This paper studies the bus frequency optimization problem considering the user satisfaction. Specically, for the rst time to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa44edbfda88fc27a54f8f8a1032b697
https://doi.org/10.1109/tkde.2020.3036573
https://doi.org/10.1109/tkde.2020.3036573
Publikováno v:
Proceedings of the VLDB Endowment. 15:3626-3629
Manual analysis on plan regression is both labor-intensive and inefficient for a large query plan and numerous queries. In this paper, we demonstrate AutoDI, an automatic detection and inference tool that has been developed to investigate why a sub-o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a885f64d1cee99695dd1b2eda6fcde3
https://doi.org/10.14778/3554821.3554860
https://doi.org/10.14778/3554821.3554860
Publikováno v:
Proceedings of the VLDB Endowment. 15:3398-3410
Managing massive trajectory data from various moving objects has always been a demanding task. A desired trajectory data system should be versatile in its supported query types and distance functions, of low storage cost, and be consistently efficien
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e1ec45de877f61db7e3edeb036312e7
https://doi.org/10.14778/3554821.3554831
https://doi.org/10.14778/3554821.3554831
Autor:
SHENG WANG1 swang@nyu.edu, ZHIFENG BAO2 zhifeng.bao@rmit.edu.au, CULPEPPER, J. SHANE2 shane.culpepper@rmit.edu.au, GAO CONG3 gaocong@ntu.edu.sg
Publikováno v:
ACM Computing Surveys. Mar2022, Vol. 54 Issue 2, p1-36. 36p. 9 Diagrams, 7 Charts.
Publikováno v:
Proceedings of the ACM Web Conference 2023.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d0be8ea8c60d52bb6f306fc6b670de3
https://doi.org/10.1145/3543507.3583859
https://doi.org/10.1145/3543507.3583859
Publikováno v:
The VLDB Journal. 32:229-255
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::153b034dac50f9350f869bee7086f48d
https://doi.org/10.1007/s00778-022-00745-1
https://doi.org/10.1007/s00778-022-00745-1