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UrbComp 2016 : The 5th International Workshop on Urban Computing (in conjuction with KDD'16)

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Link: http://www2.cs.uic.edu/~urbcomp2013/urbcomp2016/submission.html
 
When Aug 14, 2016 - Aug 14, 2016
Where San Francisco, CA
Submission Deadline May 30, 2016
Notification Due Jun 22, 2016
Final Version Due Jul 10, 2016
Categories    data mining   urban computing
 

Call For Papers

The 5th International Workshop on Urban Computing (UrbComp 2016)

August 13, 2016, San Francisco, California, USA; Held in conjunction with KDD 2016

http://www2.cs.uic.edu/~urbcomp2013/urbcomp2016/

Selected workshop papers will invited to ACM Transactions on Intelligent Systems and Technology!

Important Dates
Paper submission: May 30, 2015 (PCT 11:59:59PM)
Notification of acceptance: June 22, 2015
Workshop date: August 13, 2015

Organizers:
Yu Zheng, Microsoft Research, China
Alexandre Bayen, U.C. Berkeley
Ouri E. Wolfson, University of Illinois at Chicago, USA
Zhenhui (Jessie) Li, Pen State University
Qiang Yang, Hong Kong University of Science and Technology, Hong Kong, China

Topics of interest:
Urban informatics: acquisition, aggregation, and analysis of big data
City-wide traffic modeling, visualization, analysis, and prediction
City-wide human mobility modeling, visualization, and understanding
Urban computing for urban planning and city configuration evaluation
Urban environment/pollution/energy consumption monitoring and data analysis
City-wide intelligent transportation systems
Anomaly detection and event discovery in a city
Social behavior modeling, understanding, and patterns mining in urban spaces
Discover regions of interests and regions of different functions
Mining public transportation data, such as ticketing data in bus and subway systems, road pricing data, and taxi data
Understanding urban economy based on big data
Enhancing public safety and security using big data
City-wide mobile social applications in urban areas
Location-based social networks enabling urban computing scenarios
Smart recommendations in urban spaces
Intelligent delivery services in cities
Mining data from the Internet of Things in urban areas

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