Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Anja Kunkel"'
Autor:
Panagiotis Bouros, Sven Helmer, Ulf Leser, Anja Kunkel, Christopher Schiefer, Astrid Rheinländer
Publikováno v:
SSDBM
Kunkel, A, Rheinländer, A, Schiefer, C, Helmer, S, Bouros, P & Leser, U 2016, PIEJoin: Towards Parallel Set Containment Joins . in P Baumann, I Manolescu-Goujot, L Trani, Y Ioannidis, G G Barnaföldi, L Dobos & E Bányai (eds), Proceedings of the 28th International Conference on Scientific and Statistical Database Management : SSDBM '16 ., 11, Association for Computing Machinery, New York, NY, USA, Conference on Scientific and Statistical Database Management, Budapest, Hungary, 18/07/2016 . https://doi.org/10.1145/2949689.2949694
Kunkel, A, Rheinländer, A, Schiefer, C, Helmer, S, Bouros, P & Leser, U 2016, PIEJoin: Towards Parallel Set Containment Joins . in P Baumann, I Manolescu-Goujot, L Trani, Y Ioannidis, G G Barnaföldi, L Dobos & E Bányai (eds), Proceedings of the 28th International Conference on Scientific and Statistical Database Management : SSDBM '16 ., 11, Association for Computing Machinery, New York, NY, USA, Conference on Scientific and Statistical Database Management, Budapest, Hungary, 18/07/2016 . https://doi.org/10.1145/2949689.2949694
The efficient computation of set containment joins (SCJ) over set-valued attributes is a well-studied problem with many applications in commercial and scientific fields. Nevertheless, there still exists a number of open questions: An extensive compar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cd122321e1c2827ace05bb0d3cb16a6
https://doi.org/10.1145/2949689.2949694
https://doi.org/10.1145/2949689.2949694
Publikováno v:
SIGMOD Conference
In many domains, a plethora of textual information is available on the web as news reports, blog posts, community portals, etc. Information extraction (IE) is the default technique to turn unstructured text into structured fact databases, but systema
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e881901bd6f04f849e9ce08a1d7d486
https://doi.org/10.1145/2882903.2903736
https://doi.org/10.1145/2882903.2903736
Publikováno v:
SIGMOD Conference
Currently, we witness an increased interest in large-scale analytical data flows on non-relational data. The predominant building blocks of such data flows are user-defined functions (UDFs), a fact that is not well taken into account for data flow la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12eae857ee0411b8750ba51d7c19e17c
https://doi.org/10.1145/2588555.2594517
https://doi.org/10.1145/2588555.2594517