Data Analytics Trends and Applications

Nowadays, the enhanced capacities of computers create opportunities for running numerous applications, processing and storing unimaginable amount of data. The data sources come in a variety of types that need to be managed in order to provide meaningful decision support for end-users from different industries. IT researchers and professionals face different challenges when extracting value from the available data, and hence a wide range of analytical services are needed.

In this special session we seek to raise discussion on:

• Emerging trends in Big Data management
• Design and implementation of analytical services for different industries
• Digital transformation trends driving industry 4.0

Authors are encouraged to submit papers on topic relevant to this session that include — but are not limited to — the following:

• Artificial Intelligence applications
• Machine learning algorithms
• Optimization algorithms
• Knowledge graphs and NoSQL databases
• Centralized, federated, and distributed SPARQL query processing
• Security and privacy in querying the Web of Data
• Analytical Services in Big Data applications (Geospatial Data Management, Renewable Energies,  Energy Efficiency, Healthcare, eGovernment, Sustainable and Smart Cities, IoT applications, etc)
• Interoperability and Integration in different domains
• Big Data Ethics

Co-chairs:

• Sallinger, Emanuel (emanuel.sallinger@cs.ox.ac.uk). Department of Computer Science, University of Oxford, , UK
• Janev, Valentina (valentina.janev@institutepupin.com). University of Belgrade, Institute Mihailo Pupin, Belgrade, Serbia
• Tomašević, Nikola (nikola.tomasevic@pupin.rs). University of Belgrade, Institute Mihailo Pupin, Belgrade, Serbia