Liang Zhang

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19-21 October 2015

Data driven computing is an emerging paradigm for knowledge discovery in various areas including social media, sensor network, telecommunication, and biology. Under this paradigm, data science is the core that transmutes massive amount of data into useful information. The second DSAA’ conference, sponsored by the IEEE Computational Intelligence Society, was held in Paris this year, providing a forum for the exchange of the latest developments as well as a wide range of applications in data science.

One intriguing keynote speech was given by Dr. Nuria Oliver, who is the current scientific director at Telefonica R&D, Barcelona, Spain. They demonstrated three projects which utilised mobile data for human behaviour prediction. The most interesting one was to verify two controversial hypotheses about whether the diversity of population would increase or decrease crime. She collected personal mobile data from a city of Spain and analysed in two aspects: people-centric and space-centric. Both results showed that diversity of residents can serve as eyes for surveillance and prevent crimes.

Another keynote speaker, Serge Abiteboul, talked about personal information management system (PIMS). PIMS is defined as a cloud system that manages all the personal information. He advocated that a web user today should have an integrated tool to manage their personal data. To achieve this goal, he and his team are currently developing a datalog dialect – Webdamlog.

My presentation went well and people were interested in my publication, entitled: Assistive Classification for Improving the Efficiency of Avian Species Richness Surveys (http://eprints.qut.edu.au/89566/).

My presentation

My presentation

Paris is so beautiful a city that I will surely revisit in the future.

Eiffel Tower

Eiffel Tower

Arc de Triomphe

Arc de Triomphe

Notre Dame

Notre Dame

 

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