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BigData 2017 - 2nd International Symposium on Big Data and Smart Sustainable Society (BigData-2017)

Date2017-06-21 - 2017-06-23

Deadline2017-03-15

VenueExeter, UK - United Kingdom UK - United Kingdom

Keywords

Websitehttps://www2.docm.mmu.ac.uk/STAFF/L.Han/...

Topics/Call fo Papers

By 2020, the total size of digital data generated by social networks, sensors, biomedical imaging and simulation devices, will reach an estimated 44 Zettabytes (e.g. 44 trillion gigabytes) according to IDC report. This type of 'big data', together with the advances in information and communication technologies such as Internet of things (IoT), connected smart objects, wearable technology, ubiquitous computing, is transforming every aspect of modern life and bringing great challenges and spectacular opportunities to fulfill our dream of a sustainable smart society.
This symposium aims to provide a platform and forum to discuss and report current state-of-the-art, new solutions, future directions to address challenges, issues and success stories on how to harness potential advances in the digital area to improve people's life (e.g. big data, IoT, mobile/ ubiquitous computing), and how to maximize the use of big data processing and data analytics to realize the smart society.
The topics include but are not limited to:
Novel intelligent system architectures for big data processing and data analytics (e.g. parallel and distributed computing/Cloud computing; distributed algorithms)
Novel data analytics/machine learning algorithms for efficient big data analytics (e.g. probabilistic and statistical models and methods for learning from streaming data, feature extraction/sample reduction, deep learning, etc.)
Ubiquitous computing/wearable technology/ Internet of things (e.g. mobile computing, IoT architecture, fog computing)
Security and privacy in big data
Big data driven applications in different domains such as health, smart cities, social science, energy, bioscience, security, transportation, agriculture etc.

Last modified: 2017-02-19 13:36:23