• Platform / Framework
  • I-BiDaaS Consortium

I-BiDaaS: Industrial-Driven Big Data as a Self-Service Solution

The I-BiDaaS project aims to empower end-users to utilize and interact with big data technologies more easily.

[field_contact_email]
  • Other
  • Data Science Lab, University of Piraeus

Distributed Sub-trajectory Clustering

Trajectory clustering is an important operation of knowledge discovery from mobility data. Especially nowadays, the need for performing advanced analytic operations over massively produced data, such as mobility traces, in efficient and scalable ways is imperative.

[field_contact_email]
  • Platform / Framework
  • I-BiDaaS Consortium

Specification of an end-to-end Big Data as-a-self-service platform

This innovation corresponds to specification of an end-to-end platform for Big Data as-a-self-service, developed within the I-BiDaaS project.

[field_contact_email]
  • Component / Service / App
  • AEGIS IT Research LtD

AEGIS Advanced Visualization Toolkit (AVT)

AEGIS has designed and implemented the AEGIS Advanced Visualization Toolkit that is an extensible software with a wide application scope, ranging from Digital Forensic Analysis to Big Data analytics.

[field_contact_email]
  • Component / Service / App
  • RENVIS

SOFIA DSS

SOFIA DSS is a model and data-driven system that addresses the challenge of personnel evaluation and recruitment.

[field_contact_email]
  • Process
  • Sotiris Diamantopoulos

E2Data Natural Language Processing

The Language Processing use case will focus on processing large amounts of messages from social media, such as Twitter, in order to perform semantic information extraction, sentiment analysis, summarization, interpretation and organization of content.

[field_contact_email]
  • Process
  • iProov

E2Data Biometric Security

E2Data Biometric Security service will be able to meet the dual challenge of intensive computational workloads and differentiated quality of service to deliver a high availability and performant anti-spoofing service.

[field_contact_email]
  • COVID-19 Other
  • Georgios Petropoulos

Artificial intelligence in the fight against COVID-19

Artificial intelligence can help fight the coronavirus through applications including population screening, notifications of when to seek medical help and tracking how infection spreads.

[field_contact_email]
  • Platform / Framework
  • Ecovid19

COVID-19 Data portal

The aim of the COVID-19 Data Portal is to facilitate data sharing and analysis, and to accelerate coronavirus research

The COVID-19 Data Portal

[field_contact_email]
  • Component / Service / App
  • BigDataStack Consortium

BigDataStack - High-performance data-centric stack for big data applications and operations

BigDataStack will deliver a complete high-performance data-centric stack of technologies as a unique combined and cross-optimized offering that addresses the emerging needs of data operations and applications.

[field_contact_email]

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