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UrbComp 2017 : UrbComp 2017 : The 6th International Workshop on Urban Computing (in conjunction with KDD'17)


When Aug 14, 2017 - Aug 14, 2017
Where Halifax, Canada
Submission Deadline May 17, 2017
Notification Due Jun 18, 2017
Final Version Due Jun 30, 2017
Categories    data mining   urban computing

Call For Papers

The 6th International Workshop on Urban Computing (UrbComp 2017)

August 14, 2017 – Halifax, Nova Scotia, Canada Held in conjunction with KDD 2017

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

Important Dates
Paper submission due: May 28, 2017 (11:59:59PM Pacific Time)
Paper notification: June 18, 2017
Camera-ready due: June 30, 2017

Yu Zheng, Microsoft Research, China
Jieping Ye, DiDi Chuxing, China
Zhenhui (Jessie) Li, Penn State University, USA
Ouri E. Wolfson, University of Illinois at Chicago, USA
Qiang Yang, Hong Kong University of Science and Technology
Philip Yu, University of Illinois at Chicago, USA

Topics of interest:
• Data mining for urban planning and city configuration evaluation
• Mining urban environmental, pollution, and ecological data
• Knowledge discovery from sensor data for saving energy and resources
• Data mining for sustainable and intelligent cities
• Urban sensing and city dynamics sensing
• Knowledge fusion from data across different domains
• City-wide traffic modeling, visualization, analysis, and prediction
• City-wide human mobility modeling, visualization, and understanding
• City-wide intelligent transportation systems
• Anomaly detection and event discovery in urban areas
• Mining urban economics
• Social behavior modeling, understanding, and patterns mining in urban spaces
• City-wide mobile social applications in urban areas
• Location-based social networks enabling urban computing scenarios
• Smart recommendations in urban spaces
• Intelligent delivery services and logistics industries in cities
• Mining data from the Internet of things in urban areas
• Managing urban big data on the cloud
• Interactive visual data analytics for urban computing

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