Jan. 3, 2022, 2:10 a.m. | Weiran Yao, Sean Qian

cs.LG updates on arXiv.org arxiv.org

The effectiveness of traditional traffic prediction methods is often
extremely limited when forecasting traffic dynamics in early morning. The
reason is that traffic can break down drastically during the early morning
commute, and the time and duration of this break-down vary substantially from
day to day. Early morning traffic forecast is crucial to inform morning-commute
traffic management, but they are generally challenging to predict in advance,
particularly by midnight. In this paper, we propose to mine Twitter messages as
a …

arxiv data media prediction social social media twitter

(373) Applications Manager – Business Intelligence - BSTD

@ South African Reserve Bank | South Africa

Data Engineer Talend (confirmé/sénior) - H/F - CDI

@ Talan | Paris, France

Data Science Intern (Summer) / Stagiaire en données (été)

@ BetterSleep | Montreal, Quebec, Canada

Director - Master Data Management (REMOTE)

@ Wesco | Pittsburgh, PA, United States

Architect Systems BigData REF2649A

@ Deutsche Telekom IT Solutions | Budapest, Hungary

Data Product Coordinator

@ Nestlé | São Paulo, São Paulo, BR, 04730-000