Informationsdriven säker Business Intelligence (DataBIN)
Forskningsprojekt , 2012 – 2016

Develop scalable system architectures, algorithms, development methods, and working demonstrators for temporal analysis of large data sets harvested from open sources (web, social media etc.) as well as corporate databases (customer data, business intelligence data) to enable new forms of collaborative innovation. These analysis services must scale to handle very large data sets, and have mechanisms for ensuring privacy and personal integrity for individuals as well as security for customers. Applications include competitive business intelligence, continuous product development, predictive analytics and many other areas of great importance to Swedish industry, both as providers and users of these services. Concrete demonstrators include: - Predictions of financial markets (Recorded Future, First Swedish Research) - Analysis of consumer behaviour and predictions about future behaviour respecting privacy (RF, TeliaSonera) - Service development through experimental and collaborative innovation (RF, Tibco Spotfire) The work will proceed in an iterative fashion with implementation and testing of methods leading to feedback into disciplinary research for improved methods which are then implemented and tested again. In the first two years we will develop prototypes to test our methods on the Recorded Future database and in the following years we will scale them up to integrate into the RF system implemented on the Amazon EC2 cloud architecture.

Deltagare

David Sands (kontakt)

Professor vid Programvaruteknik

Peter Damaschke

Biträdande professor vid Chalmers, Data- och informationsteknik, Datavetenskap

Devdatt Dubhashi

Professor vid Chalmers, Data- och informationsteknik, Datavetenskap

Hamid Ebadi Tavallaei

Doktorand vid Programvaruteknik

Fredrik Johansson

Doktorand vid Chalmers, Data- och informationsteknik, Datavetenskap

Olof Mogren

Doktorand vid Chalmers, Data- och informationsteknik, Datavetenskap

Raul Pardo Jimenez

Doktorand vid Programvaruteknik

Andrei Sabelfeld

Professor vid Programvaruteknik

Gerardo Schneider

Professor vid Programvaruteknik

Samarbetspartners

Findwise

Göteborg, Sweden

Recorded Future

Göteborg, Sweden

Finansiering

Stiftelsen för Strategisk forskning (SSF)

Finansierar Chalmers deltagande under 2012–2016 med 24 250 000,00 SEK

Stiftelsen för Strategisk forskning (SSF)

Finansierar Chalmers deltagande under 2017–2018 med 850 000,00 SEK

Mer information

Senast uppdaterat

2018-09-19