• 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
  • RENVIS

SOFIA DSS

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

[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]
  • 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.

[field_contact_email]