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  • Outstanding Paper Award: Big Data Opportunities and Challenges

Outstanding Paper Award: Big Data Opportunities and Challenges

13 November 2016 Written by Graham Williams

I had the privilege to join a panel in 2014 that explored big data opportunities and challenges. Together, coordinated by Professor Zhi-Hua Zhou, we captured our thoughts into a paper published in the IEEE Computational Intelligence Magazine (Volume 9, Number 4).

It is an honour to learn that we have received a 2017 IEEE Outstanding Paper Award. The paper is:

Zhi-Hua Zhou, Nitesh V. Chawla, Yaochu Jin, Graham J. Williams. “Big data opportunities and challenges: Discussions from data analytics perspectives”, IEEE Computational Intelligence Magazine, vol. 9, no. 4, 2014 November, pp.62-74.

The paper includes a discussion of turning ensemble concepts into the extreme, reflecting on the need for the pendulum to swing back toward protecting privacy, and the resulting focus on massively ensembled models, each “model” modelling an individual across extensive populations. The award was bestowed in November 2017.

Conference, General
data science, ensembles, extreme ensembles, massively distributed models, mchine learning, privacy
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