Overview

Due to the rise of IT and the rapid inclusion of the Internet and Mobile Computing in our lives, companies, enterprises and governments have huge volumes of information. This information overload greatly complicates the process of decision making of experts in any field. Furthermore, the heterogeneous nature of the sources and the large size of these databases imply a difficult challenge for analysts.

This conference brings together scientific experts on Computer Science, Statistics and Economics as well as other professionals offering solutions to secure current data management from the perspective of Big Data, Data Mining and predictive classical Statistics. From these disciplines all stages of the Data Management process are addressed: data collection, integration, storage, pre-processing, analysis and visualization.

Application areas where new techniques of Data Management are particularly relevant today, include e-commerce, finance, Smartcities and Medicine.

Conference Topics:
Forecasting from Big Data
Optimization and Big Data
New visualisation techniques
Social network analysis
Search and data mining
Complexity and algorithms
Open data
Big Data algorithms
Cloud computing
OLAP technologies
ETL (Extract, Transform and Load)

Applications to:
eCommerce
Marketing
Business intelligence
Security and privacy
Medicine and health
Tourism services
Smart cities
Manufacturing
Financial risk
Public administration
Mobile apps
eGovernment