- 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.
- Component / Service / App
- KDD Lab of ISTI-CNR
Individual Crash Prediction based on Mobility Traces
An analytical process is provided, which analyzes the recent GPS traces of a vehicle and assigns to it a probability of having a crash in the next mid-term future (typically, one month ahead). The process is based on the analysis of historical data of several vehicles in terms of mobility (GPS p
- Component / Service / App
- Inlecom Group BVBA
Containerised Genetic p-Median Solver
The p-median solver developed by the Track&Know project uses a genetic algorithm approach to solve the Location-allocation problems in polynomial time. Location-allocation problems typical deal with provisioning of resources between facilities based on historic demand.
- Component / Service / App
- KDD Lab of ISTI-CNR
Extracting relevant locations from individual mobility
A tool for analyzing the GPS traces of a vehicle to identify the places where a user stops for significant durations, and to aggregate them into locations of interest for the user. Each location is enriched with statistical information about frequency of stops.
- 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
- DEEP-Hybrid-DataCloud
DEEPaaS - Deep Learning for everybody
The key concept proposed in the DEEP Hybrid DataCloud project is the need to support intensive computing techniques that require specialized HPC hardware, like GPUs or low-latency interconnects, to explore very large datasets.
- Platform / Framework
- CLASS Consortium
CLASS -Edge an d Cloud Computation: A Highly distributed Software for Big Data Analytics
Current trends towards the use of big data technologies in the context of smart cities suggest the need for developing novel software development ecosystems upon which advanced mobility functionalities can be developed.
- Platform / Framework
- ELASTIC consortium
ELASTIC: A Software Architecture for Extreme-ScaLe Big-Data AnalyticS in Fog CompuTIng ECosystems
Big data technologies are nowadays being integrated in systems that are required to process a vast amount of information from geographically distributed data sources.
- Platform / Framework
- ATB – Institut für angewandte Systemtechnik Bremen GmbH
Cross-CPP - A single point of access to multiple data streams
Key motivation of Cross-CPP project is to give cross-sectorial industries access to the great spectrum of sensor data coming from products from various industrial sectors (vehicles, smart home devices, etc.).
- Platform / Framework
- Alessandro Checco
FashionBrain – novel shopping experience
The FashionBrain solution aims at combining data from different sources to support different fashion industry players by predicting upcoming fashion trends from social media as well as providing personalized recommendations and advanced fashion item search to customers.