[AISWorld] 4th International Conference on Big Data Innovations and Applications (Innovate-Data 2018)

[Georgia (Zeta) Kapitsaki]

The 4th International Conference on Big Data Innovations and

Applications (Innovate-Data 2018)
(IEEE CS-TCI)

06-08 August 2018, Barcelona, Spain

http://www.ficloud.org/innovate-data-2018/
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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
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.

CONFERENCE TRACKS:

Big Data Storage, Representation and Processing
Data storage; Data representation and structures; Data management; Data
processing; Data engineering and design; Storages and network requirements

Big Data Security, Privacy and Trust
Data Security; Data Privacy; Data Trust; Data protection and integrity;
Legal and ethical issues; Identity theft; Data loss and leakage

Big Data Models, Infrastructure and Platforms
Data models; NoSQL databases; Data consistency and availability; Fault
tolerance and reliability; Network models and protocols; Performance
evaluation; Resource management; Transaction management; RDBMS and big
data; Memcached systems and techniques

Visualisation of Big Data
Data visualisation, Visual representation; Usability and user
interaction; Graphs models and techniques for big data; Data acquisition
and cleaning

Big Data Analytics and Metrics
Analytics models; Tools and technologies; Data patterns; Business
intelligence and decision making; Optimization of resources and cost;
Customer relations and satisfaction; Data economics; Metrics for big
data; Analysis of online reviews

Big Data Science
Big data science models; Data searching and mining; Methodologies and
use cases; Machine learning and deep learning; Algorithms and formal
models; Mathematical and Statistical models for big data;
Interdisciplinary approaches and methods

Big Data Applications and Innovations
Business applications; Social media and networks; Healthcare
applications; Government and public sector systems; Multimedia and data
streaming; Personal data logging and quantified-self; Context-aware
data; Big data in cloud and IoT; Personalisation of data; Open and
linked data