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International projects source: SICRIS

Advanced Analytics for EXtremely Large European Databases

Researchers (1)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  16324  PhD Janez Demšar  Computer science and informatics  Head  2012 - 2015  340 
Organisations (1)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  1539  University of Ljubljana, Faculty of Computer and Information Science  Ljubljana  1627023  16,243 
Abstract
AXLE focuses on automatic scaling of complex analytics, while addressing the full requirements of real data sets.Real data sources have many difficult characteristics. Sources often start small and can grow extremely large as business/initiatives succeed, so the ability to grow seamlessly and automatically is at least as important as managing large data volumes once you know you have them. Extremely large data stores have added concerns such as data quality, privacy, security and auditability.Aspects of the project will include* Scalability Engineering - Autopartitioning, Compression* Security, Privacy and Audit Techniques* Visual Analytics* Advanced Architectures for Hardware and Software<br/>Validation will be carried out by industrial consortium partners with access to large volumes of private medical data, as well as other wide ranging data from other interested parties.Software features will be released as commercially-usable open source code, and submitted for wide use as core parts of the PostgreSQL database or Orange visualisation project, or pluggable extensions for those tools.
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