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pro vyhledávání: '"Torlone R."'
We formally investigate the problem of retrieving the best results complying with multiple preferences expressed in a logic-based language when data are stored in relational tables with taxonomic domains. We introduce two operators that rewrite prefe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ac694ac2862faa28fc74477eede3bd69
https://hdl.handle.net/11590/418209
https://hdl.handle.net/11590/418209
Successful data-driven science requires a complex combination of data engineering pipelines and data modelling techniques. Robust and defensible results can only be achieved when each step in the pipeline that is designed to clean, transform and alte
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https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d348eb50426702153c322d9dc7b4448f
https://eprints.soton.ac.uk/477286/
https://eprints.soton.ac.uk/477286/
Preferences about objects of interest are often expressed at different levels of granularity, not always matching the level of detail of stored data. For instance, we prefer rock to pop music, yet scheduled concerts only cite the name of the performe
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https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f05f030d3af5b9b31fbee2ac6abe975a
https://hdl.handle.net/11585/858779
https://hdl.handle.net/11585/858779
In this work we analyze the typical operations of data preparation within a machine learning process, and provide infrastructure for generating very granular provenance records from it, at the level of individual elements within a dataset. Our contri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3668::731125f0d9a0501b560cd89b29ab125b
https://hdl.handle.net/11590/400733
https://hdl.handle.net/11590/400733
Akademický článek
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Autor:
Maccioni A., Torlone R.
Polystores provide a loosely coupled integration of heterogeneous data sources based on the direct access, with the local language, to each storage engine for exploiting its distinctive features. In this framework, given the absence of a middleware e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3668::2ebf7ecbddb53af72bccfb4cffad8fad
https://hdl.handle.net/11590/355086
https://hdl.handle.net/11590/355086
The Deep Web is constituted by data accessible through Web pages, but not readily indexable by search engines, as they are returned in dynamic pages. In this paper we propose a framework for accessing Deep Web sources, represented as relational table
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::1c9d76bb90c2d1fae4dbb76b04ee96d5
https://eprints.bbk.ac.uk/id/eprint/13635/1/cali_et_al_ICK-15_final.pdf
https://eprints.bbk.ac.uk/id/eprint/13635/1/cali_et_al_ICK-15_final.pdf
Autor:
Diamantini, C., Genga, L., Potena, D., van der Aalst, W.M.P., Lembo, D., Marrella, A., Torlone, R.
Publikováno v:
23rd Italian Symposium on Advanced Database Systems, SEBD 2015, 256-263
STARTPAGE=256;ENDPAGE=263;TITLE=23rd Italian Symposium on Advanced Database Systems, SEBD 2015
STARTPAGE=256;ENDPAGE=263;TITLE=23rd Italian Symposium on Advanced Database Systems, SEBD 2015
Process Mining techniques aim at building a process model starting from an event log generated during the execution of the pro- cess. Classical process mining approaches have problems when dealing with Spaghetti Processes, i.e. processes with little
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::c9dd7e5034b484f56c377a2b7d8e4c3a
https://research.tue.nl/nl/publications/99cdf2a9-5374-485f-9ba1-d400eec2cfa8
https://research.tue.nl/nl/publications/99cdf2a9-5374-485f-9ba1-d400eec2cfa8