Big Data concern large-volume, complex, growing data sets with multiple, autonomous sources. The developments in the Big Data research lead to almost the birth of a new domain. With the fast development of networking, data storage, and the data collection capacity, Big Data are now rapidly expanding in all science and engineering domains, including physical, biological and biomedical sciences. This workshop will address the features of the Big Data revolution, Big Data processing model, data driven models, big data standards, and so on.
Topics to be addressed in the workshop, but not limited to:
Big Data models and architectures
Big data architecture and design
Security, privacy, and trust
Data protection and integrity
Big Data mining, analytics and metrics
Data representation and structures
Data capturing and acquisition
Tools and technologies
QoS of big data
Social networks analysis
Big Data searching and mining
Visualisation of data
Personal data logging and quantified-self
Context-aware data
Big Data Visualization
Personalisation of data
Data contextualisation
Data Querying
Applications of open and linked data
Data-intensive computing,
Methodologies and cases studies
Data Usability issues
Storages and network requirements
Bigdata Network models and protocols
Big data in cloud and IoT
Big data processing large-scale datasets on clusters
Smart and connected communities
Big Data and Urban Data Analytics
Cloud Computing and Network Infrastructure for Smart Cities
Intelligent Transport Systems and Traffic Management
Big data for Internet of Things
Sep 13
2017
Conference Date
Draft paper submission deadline
Draft Paper Acceptance Notification
Final Paper Deadline
Registration deadline
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