Preference Analytics in EXASolution
Abstract
Skyline queries and the more general concept of preferences are wellknown in the database community and there are many academic approaches for the computation of the best-matching objects. Furthermore, data analytics and multicriteria optimization play an important role in Business Intelligence where it facilitates optimal decision making. Preference Analytics is the combination of preferences and data analytics. SKYLINE is EXASOL's implementation of Preference Analytics in its commercial database management system EXASOLUTION. In this paper, we present SKYLINE from a user's perspective, describe algorithmic design decisions, and discuss its implementation in a distributed and parallel environment. The paper closes with an empirical evaluation of the system based on a number of preference queries over the TPC-H dataset using different scale factors.
- Citation
- BibTeX
Mandl, S., Kozachuk, O., Endres, M. & Kießling, W.,
(2015).
Preference Analytics in EXASolution.
In:
Seidl, T., Ritter, N., Schöning, H., Sattler, K.-U., Härder, T., Friedrich, S. & Wingerath, W.
(Hrsg.),
Datenbanksysteme für Business, Technologie und Web (BTW 2015).
Bonn:
Gesellschaft für Informatik e.V..
(S. 613-632).
@inproceedings{mci/Mandl2015,
author = {Mandl, Stefan AND Kozachuk, Oleksandr AND Endres, Markus AND Kießling, Werner},
title = {Preference Analytics in EXASolution},
booktitle = {Datenbanksysteme für Business, Technologie und Web (BTW 2015)},
year = {2015},
editor = {Seidl, Thomas AND Ritter, Norbert AND Schöning, Harald AND Sattler, Kai-Uwe AND Härder, Theo AND Friedrich, Steffen AND Wingerath, Wolfram} ,
pages = { 613-632 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
author = {Mandl, Stefan AND Kozachuk, Oleksandr AND Endres, Markus AND Kießling, Werner},
title = {Preference Analytics in EXASolution},
booktitle = {Datenbanksysteme für Business, Technologie und Web (BTW 2015)},
year = {2015},
editor = {Seidl, Thomas AND Ritter, Norbert AND Schöning, Harald AND Sattler, Kai-Uwe AND Härder, Theo AND Friedrich, Steffen AND Wingerath, Wolfram} ,
pages = { 613-632 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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More Info
ISBN: 978-3-88579-635-0
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2015
Language:
(en)

Content Type: Text/Conference Paper