Analysis of MassIve Data STreams
This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 619209


The AMIDST research project

AMIDST will use two real-world use-cases to rigorously test  a set of tools, methods and algorithms to be developed as part of the project on extremely large and highly complex volumes of streaming data. Daimler, which is a partner in the project has provided data for one of the use-cases and will use the results of the project in their development of autonomous driving. The other use-case is provided by the partner BCC, a Spanish Bank, and they will use the developed methods for identifying and evaluating their clients on different parameters.

The AMIDST research project will provide a generic framework for analysis of extremely large volumes of streaming data, thereby adding, creating and increasing the value of existing and new data resources as well as providing a means for more timely and efficient decision making.

AMIDST targets three strategic EU areas: software development, the automotive industry and finance and the combination of academic and industry partners complements the project very well. The academic partners have the knowledge and research facilities to undertake the research and the industry partners has the competences and interest in utilising the results for commercial use. 

Latest news:

27 May 2016 New research assistant joins AMIDST

17 Nov 2015 Annual Meeting 2015
5 Oct 2015 Summer presentations
1 Sept 2015 Paper accepted for IDA'2015

Find all news articles here.

Read about our two use cases based on the AMIDST research.
Here are some interesting sources of information on the outcomes of AMIDST:
CiteULike Linkedin Deliverables VBN Publications


& Posters

AMIDST Toolbox

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