Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Taoran Ji"'
Publikováno v:
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).
Publikováno v:
SIGSPATIAL Special. 11:16-25
The exponential growth of the urban data generated by urban sensors, government reports, and crowd-sourcing services endorses the rapid development of urban computing and spatial data mining technologies. Easier accessibility to such enormous urban d
Publikováno v:
2021 IEEE International Conference on Big Data (Big Data).
Autor:
Zonghan Zhang, Subhodip Biswas, Fanglan Chen, Kaiqun Fu, Taoran Ji, Chang-Tien Lu, Naren Ramakrishnan, Zhiqian Chen
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:13115-13116
Influence blocking maximization (IBM) is crucial in many critical real-world problems such as rumors prevention and epidemic containment. The existing work suffers from: (1) concentrating on uniform costs at the individual level, (2) mostly utilizing
Publikováno v:
Information Management and Big Data ISBN: 9783030461393
SIMBig
SIMBig
The Twitter platform is appealing to researchers due to the ease of obtaining data and the ability to analyze and produce results rapidly. However, sampling Twitter data for research purposes needs to be regulated to produce unbiased results. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab7a2c291570f16f7a4989b3ee0e28f8
https://doi.org/10.1007/978-3-030-46140-9_11
https://doi.org/10.1007/978-3-030-46140-9_11
Background: This study aims to evaluate the Chicago Teen Pregnancy Prevention Initiative delivery optimization outcomes given policy-neutral and policy-focused approaches to deliver this program to at-risk teens across the City of Chicago. Methods: W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d58bfb38b04a0428532b62ff46153771
Publikováno v:
SIGSPATIAL/GIS
Critical incident stages identification and reasonable prediction of traffic incident duration are essential in traffic incident management. In this paper, we propose a traffic incident duration prediction model that simultaneously predicts the impac
Publikováno v:
ASONAM
Cybersecurity event detection is a crucial problem for mitigating effects on various aspects of society. Social media has become a notable source of indicators for detection of diverse events. Though previous social media based strategies for cyber-s
Publikováno v:
IJCAI
Modeling and forecasting forward citations to a patent is a central task for the discovery of emerging technologies and for measuring the pulse of inventive progress. Conventional methods for forecasting these forward citations cast the problem as an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d86af129160090ba4f35639e187095f
http://arxiv.org/abs/1905.10022
http://arxiv.org/abs/1905.10022
Publikováno v:
ASONAM
With the rapid growth in urban transit networks in recent years, detecting service disruptions in a timely manner is a problem of increased interest to service providers. Transit agencies are seeking to move beyond traditional customer questionnaires