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