Big data has become a key asset in modern societies, economies, and governmental organizations. Big data encompasses various kinds of complex and large scale information that are beyond the processing capabilities of conventional software and databases. The increasing volume and velocity of the data, captured by business organizations, web repositories, social media, data centres, cloud and IoT, have resulted in the exponential growth of big data.
Big data provides a key basis for innovations in various domains and applications. It can benefit data managers, developers, companies and various kinds of organizations to carry out useful analysis of data pattern and trends, make intelligent decisions, and solve complex problems that can help societies and economies and speed up innovations.
The aim of the Innovate-Data 2017 conference is to promote the state of the art in scientific and practical research of big data and to bring together researchers and practitioners from academia, industry, and public sector in an effort to present their research work and share research and development ideas.
Innovations in big data
Data models and architectures
Applications of big data
Big data engineering and design
Security, privacy, and trust
Data protection and integrity
Identity theft, data loss and leakage
Legal and ethical issues
Data analytics and metrics
Data representation and structures
Data management and processing
Data capturing and acquisition
Tools and technologies
QoS of big data
Social networks analysis
Data searching and mining
Visualisation of data
Personal data logging and quantified-self
Context-aware data
Personalisation of data
Data economics
Applications of open and big data
Open and linked data
Methodologies and use cases
Usability issues
Storages and network requirements
Network models and protocols
Big data in cloud and IoT
08月21日
2017
08月23日
2017
初稿截稿日期
终稿截稿日期
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