Projects

DATALAB has participated in several research programs funded by national and European Commission research funds. DATALAB has participated in more than 25 research and development projects from which it has scientifically leaded more than 15 projects in the area of advanced data management and analytics, social networks, Web content mining and cloud computing. The most recent research activity involves relevant projects funded by the EU H2020 framework.

Fix the Fixing aims to develop a user-friendly educational tool will that will be used by stakeholders to increase people’s involved in sport awareness about corruption, fraud and match-fixing in
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There is no escape from the expansion of information, so that structuring and locating meaningful knowledge becomes ever more difficult. This project will tackle this urgent problem using the unique
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The aim of EICOS is to provide the methodology, the theoretical and modeling foundations as well as the algorithmic techniques and the necessary software architecture that will facilitate the personalization,
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Legacy systems are likely to contain software vulnerabilities that can lead to various security breaches. On the other hand, these systems contain valuable information about the environment, the creation and
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Real and Virtual Social Interactions and Reciprocities via efficient sentiment and affective analysis methodologies for extracting or recording and analyzing emotional information in real and virtual life. Detect and characterize
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Social and sensor data streams integration via data mining and statistical analysis methodologies and practices utilized to communicate sensor measurements to the public (citizens, authorities, etc), while at the same
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Cloud-based framework for social networks trends detection and analysis via real-time large-scale data clustering techniques, evolving social graph mining with tailored data preprocessing and cleaning. Emphasis placed on analyzing societal
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The purpose of this project concerns the investigation, determination and implementation of a common Enterprise Architecture, which can cover the particular needs of the most (if not of all) the
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Develop improved methods for knowledge extraction from massive amounts of data regarding moving objects. This knowledge is essential to substantiate decision making in public and private sectors. Moving object data
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BlogForever, a collaborative European Commission funded project, developed an exciting new system to harvest, preserve, manage and reuse blog content. The system is performing an intelligent harvesting operation which retrieves
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PhD funding program with the research been co-financed by the European Union (European Social Fund – ESF) and Greek national funds through the Operational Program “Education and Lifelong Learning” of
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COST Action IC0804 proposed realistic energy-efficient alternate solutions to share IT distributed resources. As large scale distributed systems gather and share more and more computing nodes and Storage resources, their
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