Big data-based smart city platform: Real-Time crime analysis

Debopriya Ghosh, Soon Ae Chun, Nabil R. Adam, Basit Shafiq

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

16 Scopus citations


One of the challenges governments and communities face to achieve smart city goals is dealing with enormous amount of data available-sensors, devices, social media, Web activities and commerce, tracking devices, all generate enormous amount of data, so called Big Data. Our goal is to empower the city government and its citizens to create a safer city by enabling crime and risk analysis of unstructured crime reports, criminal history of suspects, auto-license data, location-specific data, etc. for crime fighting efforts. We present intelligent solutions for Data-based Smart City Platform in Newark, NJ. We used a Machine Learning approach to automate and help crime analysts identify the connected entities and events by collecting, integrating and analyzing diverse data sources to generate alerts and predictions for new knowledge and insights that lead to better decision making and optimized actions.

Original languageAmerican English
Title of host publicationdg.o 2016 - Proceedings of the 17th Annual International Conference on Digital Government Research - Internet Plus Government
Subtitle of host publicationNew Opportunities to Solve Public Problems
EditorsYushim Kim, Shuhua Monica Liu
PublisherAssociation for Computing Machinery
Number of pages9
ISBN (Electronic)9781450343398
StatePublished - Jun 8 2016
Event17th Annual International Conference on Digital Government Research, dg.o 2016 - Shanghai, China
Duration: Jun 8 2016Jun 10 2016

Publication series

NameACM International Conference Proceeding Series


Other17th Annual International Conference on Digital Government Research, dg.o 2016

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications


  • Crime analysis
  • Local Government
  • Machine learning
  • Smart city


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