Transportation Data Challenge Open Community Call

Monday, October 30, 2017 1:00 - 2:00 pm ET / 10:00 - 11:00 am PT To effectively address transportation safety issues requires the integration of multiple disparate data sources, some historic, some drawn from real time data, and in many cases, to integrate multiple technologies to analyze and understand crash data. This call will focus on how we can address and solve these issues. To join the TDC Community Call: www.uberconference.com/westhub Dial in: 510-925-0403 | No PIN needed CALL A...
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Tatjana Dokic’s Presentation at Grid of the Future™ Symposium

Tatjana Dokic, a PhD student of Dr. Kezunovic, presented a paper at the Grid of the Future™ symposium in Cleveland, Ohio. Information about the symposium can be found here. Citation: T. Dokic, M. Kezunovic, “Real-Time Weather Hazard Assessment for Power System Emergency Risk Management,” CIGRE Grid of the Future 2017, Cleveland, OH, October 24, 2017. The Grid of the Future™ symposium is sponsored by the CIGRE US National Committee (USNC) and the Electric Power Research Institute (EPR...
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Free Entry – Big Data Analytics World Championships 2017

The 3rd TEXATA Big Data Analytics World Championships is being hosted in Austin TX. It is a fun, educational and challenging online global competition for professionals and students looking to build and showcase their real-world skills in Big Data, Data Science, Machine Learning and Business Analytics. There will be two Online Rounds (4 hours each) and Live Top 12 World Finals in Austin Texas.  Round 1 Online starts on 30th September 2017. All participants receive a certificate of participat...
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2017 IEEE International Conference on Big Data(Big Data 2017) , December 11-14, 2017, Boston, MA, USA

The 2017 IEEE International Conference on Big Data (IEEE Big Data 2017) will continue the success of the previous IEEE Big Data conferences. It will provide a leading forum for disseminating the latest results in Big Data Research, Development, and Applications. We solicit high-quality original research papers (and significant work-in-progress papers) in any aspect of Big Data with emphasis on 5Vs (Volume, Velocity, Variety, Value and Veracity), including the Big Data challenges in scientific...
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