- 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.
- 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.
- 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.
- 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.
- Platform / Framework
- IBM
Parallelization of Constraint Satisfaction Problems (CSP) solver
The CSP solver is the heart of the IBM’s Data Fabrication Platform technology. The generated data is the solution of a constraint satisfaction problem created by the Platform engine out of the user defined data model.
- 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.
- 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.
- 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.
- 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.
- COVID-19 Logistics
- Gonzalo Barranco
COVID-19 mortality prediction tool: spatial epidemiological approach using Serverless Big Data Analytics.
No scientific answer explains spatial variability underlying spread and mortality of this pandemic.