Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Mazuran, Mirjana"'
As large Open Data are increasingly shared as RDF graphs today, there is a growing demand to help users discover the most interesting facets of a graph, which are often hard to grasp without automatic tools. We consider the problem of automatically i
Externí odkaz:
http://arxiv.org/abs/2103.17178
Publikováno v:
SEBD 2019-27th Italian Symposium on Advanced Database Systems
SEBD 2019-27th Italian Symposium on Advanced Database Systems, Jun 2019, Castiglione della Pescaia (Grosseto), Italy
SEBD 2019-27th Italian Symposium on Advanced Database Systems, Jun 2019, Castiglione della Pescaia (Grosseto), Italy
National audience; Nowadays, a huge amount of applications exist that natively adopt a data-streaming model to represent highly dynamic phenomena. A challenging application is constituted by data from the stock market, where the stock prices are natu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::040c934126c8222e2060009f8383221f
https://inria.hal.science/hal-02191794/document
https://inria.hal.science/hal-02191794/document
Autor:
Manolescu, Ioana, Mazuran, Mirjana
Publikováno v:
BigVis 2019-2nd International Workshop on Big Data Visual Exploration and Analytics
BigVis 2019-2nd International Workshop on Big Data Visual Exploration and Analytics, Mar 2019, Lisbon, Portugal
BigVis 2019-2nd International Workshop on Big Data Visual Exploration and Analytics, Mar 2019, Lisbon, Portugal
International audience; RDF graphs can be large and complex; finding out interesting information within them is challenging. One easy method for users to discover such graphs is to be shown interesting aggregates (un-der the form of two-dimensional g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3e76ecfeaf9afe6f86c250fe5e56922a
https://hal.inria.fr/hal-02065993/document
https://hal.inria.fr/hal-02065993/document
Autor:
Ballio, Francesco, Molinari, Daniela, Minucci, Guido, Mazuran, Mirjana, ARIAS MUNOZ, Carolina, Menoni, Scira, Atun, Funda, Ardagna, Danilo, N. Berni, Pandolfo, C.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3731::c72e1f31d16b0e0305dedef43c86a281
http://hdl.handle.net/11311/971933
http://hdl.handle.net/11311/971933
Akademický článek
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Publikováno v:
Proceedings of the VLDB Endowment; August 2019, Vol. 12 Issue: 12 p1926-1929, 4p
Publikováno v:
Mining Tree-Based Frequent Patterns from XML.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=erc_________::4e12639d12e6a2a181660858c69d3396
Publikováno v:
Mining Violations to Relax Relational Database Constraints.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=erc_________::541d3cb6b2f4e29ebcc1e9e1f3de5016