TRACER: Identifying software vulnerabilities and securing legacy systems


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 the evolution of the organization they support. For this reason, redesigning large systems in order to be secure and compatible with new technologies is not …

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REVITAL: Real and Virtual Social Interactions


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 patterns of ‘online’ communication with patterns of ‘offline’ or face to face communication in real social networks and studying patterns of human emotions in real …

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SEN2SOC: Sensors talk and humans sense


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 time human sensing is utilized in order to improve IoT infrastructures. Design and develop applications (Web and/or mobile) which will leverage evolving data streams occurring …

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Cloud4Trends: Leveraging the cloud infrastructure for localized real-time trend detection in social media


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 concerns and reaching consensus on collective decision-making via tailored web mining techniques which utilize the cloud infrastructure Venus-C to help address the challenges posed by …

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ARCHIMEDIS: Enterprise Architecture for Digital Cities


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 different forms of digital cities. OSWINDS team has developed Social Data Observer as a platform which offers services to citizens and city visitors in terms …


MOVE: Knowledge Discovery from Moving Objects


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 typically include trajectories of concrete objects (e.g. humans, vehicles, animals, and goods), as well as trajectories of abstract concepts (e.g. spreading diseases). While movement records …

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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 and parses hypertext as well as all other associated content (images, linked files, etc) from blogs. It copies content by interrogating not only the RSS …

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HERAKLITOS II : Web data clustering techniques

HERAKLITOS II : Web data clustering techniques

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 the National Strategic Reference Framework (NSRF) – Research Funding Program: Heracleitus II. Investing in knowledge society through the European Social Fund, the project has focused …

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COST project on Energy efficiency in large scale distributed systems

COST project on Energy efficiency in large scale distributed systems

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 energy consumption is exponentially increasing. While much effort is nowadays put into hardware specific solutions to lower energy consumptions, the need for a complementary approach …

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Social networks graphs studies

Social networks graphs studies

The project aimed at detecting user communities (in Twitter) based on users’ mentions and conversations in the context of specific topics. It has managed monitoring activity in microblogs (Twitter) to detect when and how communities evolve (emerge, gain / lose strength, merge, collapse) and also analyzed users’ activity in the identified communities to discover their …

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