About Analytics Lab VRE About Analytics Lab VRE

The D4Science Infrastructure contains a wide selection of Virtual Research Environments (VREs) inscribed in many different Virtual Organizations (VOs), with the aim of serving various communities and promoting collaboration among scientists, as suggested by new science paradigms like "Open Science" and "Science 2.0". 

Navigating this simple VRE, in which we propose a small collection of generic Machine Learning (ML) and Statistical Processing algorithms for Big Data, the new user can easily get aquainted with the infrastructure and its main facilities:

  1. Data Storage and Sharing Facilities → Workspace 
  2. Communication Facilities → Mailing System and Social
  3. Collaborative Development Facilities → RStudio
  4. Cloud Computing Facilities → Data Analytics

We itemize here the available algorithms, they are listed in "Data Analysis - Execute an Experiment" and a small description of each one of them can be found inside the algorithm interface itself, aloing with the description of all the input parameters.

  • Bayesian Methods
    • Feed Forward Neural Network Trainer
    • Feed Forward Neural Network Regressor
  • Data Clustering
    • Dbscan
    • Kmeans
    • Lof
    • Xmeans
  • So Big Data Algorithms
    • Stat Val
  • Time Series
    • Time Series Analysis

Enter Analytics Lab VRE Enter Analytics Lab VRE

Access the Analytics Lab VRE with your D4Science Gateway credentials.

Create an account Create an account

If you don't have an account you should first create one on the D4Science Gateway to access the VRE.

About BlueBRIDGE About BlueBRIDGE

This VRE has been created in the contest of the BlueBRIDGE project. BlueBRIDGE supports capacity building in interdisciplinary research communities actively involved in increasing scientific knowledge about resource overexploitation, degraded environment and ecosystem with the aim of providing a more solid ground for informed advice to competent authorities and to enlarge the spectrum of growth opportunities as addressed by the Blue Growth Societal Challenge.
BlueBRIDGE capitalizes on past investments and uses the proven D4Science infrastructure that counts over 2000 users, integrates more than 50 repositories, executes around 20,000 models & algorithms per month and provides access to over a billion records in repositories worldwide, with 99,7% service availability. 
For more information about the project please visit us at http://www.bluebridge-vres.eu/