Contact person
A Big Data Analytics Platform
BIDAF is a five-year research project financed by the KK-stiftelsen. The project is carried out by researchers at RISE, Halmstad University, and University of Skövde, Sweden.
The overall aim of the BIDAF project is to significantly further the research within massive data analysis, by means of machine learning, in response to the increasing demand of retrieving value from data in all of society. Focus has been on finding an visualizing different kinds of structure in data, by means of unsupervised statistical machine learning.
Here you can download the python-code for the BIDAF demo.
Below you can also find the presentations of the BIDAF final workshop:
Eliciting Structure in Data.pdf (pdf, 312.85 KB)
Bidaf-platform.pdf (pdf, 2.16 MB)
Bidaf-decentralized-clustering.pdf (pdf, 1 MB)
Bidaf-interactive-clustering.pdf (pdf, 1.97 MB)
Bidaf-group-anomaly-detection.pdf (pdf, 4.06 MB)
Bidaf-causal-inference.pdf (pdf, 1.57 MB)
Bidaf-higher-order-similarity.pdf (pdf, 12.78 MB)
Bidaf demo.pdf (pdf, 1.82 MB)
Summary
Project name
BIDAF
Status
Completed
RISE role in project
Coordinator, Expertise on Platforms for massive data, and Statistical machine learning
Project start
Duration
5 years
Total budget
30 MSek
Partner
Halmstad University, University of Skövde
Funders
Project website
Project members
Anders Holst Björn Bjurling Olof Görnerup Seif Haridi Ahmad Al-Shishtawy
