- 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
- 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.
- 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.
- Component / Service / App
- Created by University of Novi Sad Faculty of Sciences (UNSPMF) and Barcelona Supercomputing Center
ADMM Machine Learning Algorithms
This is an open-source implementation of the Alternating Direction Method of Multipliers (ADMM)[1] optimization algorithm that relies on CVXPY
- Platform / Framework
- Dr. Dumitru Roman
euBusinessGraph – EBG Marketplace
The EBG “company data marketplace” ia a place where company data providers can advertise their data, and data consumers can search, analyse, and compare data from the data providers, all in a unified way.
- Platform / Framework
- Cesare Cugnasco
Multidimensional Storage with Efficient Sampling (MuSES)
Our technology allows organizing the data according to their multidimensional attributes while building stratified samples at high-speed.