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Mednarodni projekti vir: SICRIS

Advanced Analytics for EXtremely Large European Databases

Raziskovalci (1)
št. Evidenčna št. Ime in priimek Razisk. področje Vloga Obdobje Štev. publikacijŠtev. publikacij
1.  16324  dr. Janez Demšar  Računalništvo in informatika  Vodja  2012 - 2015  340 
Organizacije (1)
št. Evidenčna št. Razisk. organizacija Kraj Matična številka Štev. publikacijŠtev. publikacij
1.  1539  Univerza v Ljubljani, Fakulteta za računalništvo in informatiko  Ljubljana  1627023  16.235 
Povzetek
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.
Zgodovina ogledov
Priljubljeno