Informace o projektu

Big Data Analytics for Unstructured Data (Big Data Analytics for Unstructured Data)

Logo poskytovatele
Kód projektu
Období řešení
1/2016 - 12/2018
Investor / Programový rámec / typ projektu
Grantová agentura ČR
Fakulta / Pracoviště MU
Fakulta informatiky

Development of new foundations for Big Data Analytics requires an effective and efficient content-based access to data that is prevalently unstructured. For this data, to achieve the needed integration of large-scale knowledge discovery techniques with statistical modelling, it is necessary to first uncover descriptive knowledge of complex and heterogeneous objects to make them findable. Then, scalable search structures are needed to efficiently execute similarity access operations, considering also simultaneous execution of multiple queries. Such supporting technologies should serve for semantic data integration and enrichment technologies able to make sense of Big Data for high-level services. We plan to elaborate on these topics and report results, supported by advanced prototype implementations, in respective scientific publication platforms.


Počet publikací: 15

Předchozí 1 2 Další

Používáte starou verzi internetového prohlížeče. Doporučujeme aktualizovat Váš prohlížeč na nejnovější verzi.

Další info