- 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.
- Other
- Dr Dimitris Alexandrou
ICARUS Data Security
A bundle of services that enable the security-by-design implementation on the ICARUS platform.
- Platform / Framework
- Spiros Athanasiou
SLIPO
SLIPO is the first comprehensive cloud-based platform for the quality-assured and scalable integration of Big POI data assets. SLIPO reduces the effort, time, and complexity of POI data integration, providing POIs of increased size, coverage, richness and timeliness at a fraction of the cost.
- Platform / Framework
- Spiros Mouzakitis
BigDataOcean Platform
BigDataOcean brings a digital revolution the maritime industry by creating a large maritime big data infrastructure that enables collaborative, data-driven intelligence.