As part of a collaboration between BU and several other EU based universities and intitutions we will be hosting SAAT 2014 a workshop on the emerging area of streaming analytics. The workshop is open to all for the first day (the second day is taken up with management meetings). The focus of this workshop is on the technical aspects of how to provide streaming analytics.
Scalability and responsiveness of algorithms and architectures for large scale data streams are fundamental to harvesting the power of data generated in real-time networks. The workshop seeks to bring together industry and academic partners to explore specifically the requirements of data processing, the real-world target applications and develop from there the techniques required. The scope thus includes applications, scaling algorithms, streaming platforms, integration of streaming and batch algorithms, graph partitioning together with machine learning for streaming, concept drift and dynamic data analysis. Additional topics such as security issues and tool and platform development are of interest.
The key aims in this workshop are several fold. Primarily we seek to identify the key issues associated real world streams of data, including key target applications. Integrated solutions, combining appropriate topics from the scope which target likely directions in this field is the end goal. Specifically, the aim of the workshop is to facilitate interaction as a crucible for consortium building in advance of Horizon 2020 (call 1.A.1.1 from the 2014-15 draft work programme.).
Organisers: Dr. Hamid Bouchachia(DEC) , Dr. Damien Fay (DEC)