Big data is a new trend in modern computing paradigm. Big data come in different formats and from different sources such as human movements, computing devices, sensor networks, smart phones, vehicles, and network traffic. Realising the importance of such data, the majority of businesses, industries and organizations are constantly rethinking their business models embracing the big data challenges. Indeed, such data is revolutionizing the way businesses and organizations gather, store, process, analyse and share all sorts of data for various purposes such as, customer behaviour, decision making, product and service improvement, etc.

The aim of this symposium is to address issues and challenges related to the advances in big data and its applications in various domains such as businesses, industries, healthcare, finance, education, public sector, and research and development activities.

Topics of interest include, but are not limited to:

Big data models and architectures
Big data representation and visualisation
Big data processing and management
Big data searching and mining
Big data measurement benchmarks
Big data analytics
Engineering big data
Quality of Service (QoS) aspects of big data
Network models and protocols for big data
Big data and social networks
Big data and cloud computing
Big data and context-aware computing
Big data and Internet of Things (IoT)
Security, privacy, and trust in big data
Economics of big data
Case studies