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Skalierbares Data Mining

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Skalierbares Data Mining





Veröffentlichungen zum Forschungsgebiet

inproceedings
Matteo Cossu, Michael Färber, Georg Lausen
PRoST: Distributed Execution of SPARQL Queries Using Mixed Partitioning Strategies
Proceedings of the 21st International Conference on Extending Database Technology (EDBT 2018), Seiten: 469-472, OpenProceedings.org
(Details)


Victor Anthony Arrascue Ayala, Kemal Cagin Gülsen, Anas Alzogbi, Michael Färber, Marco Muñiz, Georg Lausen
A Delay-Robust Touristic Plan Recommendation Using Real-World Public Transportation Information
Proceedings of the 2nd Workshop on Recommenders in Tourism (RecTour 2017), Seiten: 9–17, CEUR
(Details)


Jens Hartmann, York Sure
A Knowledge Discovery Workbench for the Semantic Web
Workshop on Mining for and from the Semantic Web at the ACM SIGKDDAugust, 2004
(Details)


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deliverable
Sebastian Blohm, José Iria, Fabio Ciravegna, M. Stevenson, Alberto Lavelli, Lorenza Romano
Requirement Analysis of Knowledge Acquisition from Texts, Deliverable ID 5.1
X-Media Consortium, September, 2006
(Details)


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