Tuesday 3rd May, 2016
9:00am to 5:00pm
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.
The following list covers some of the topics to be presented at Big Data 2016. Papers on other subjects related to the objectives of the conference are also welcome.
Forecasting from Big Data
Optimization and Big Data
New visualisation techniques
Social network analysis
Search and data mining
Complexity and algorithms
Big Data algorithm
ETL (Extract, Transform and Load)
Security and privacy
Medicine and health
Registration Fee: EUR 890
Student Fee: EUR 500
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