Zobrazeno 1 - 10 of 49 pro vyhledávání: '"Sofian Maabout"'
1
Akademický článek
Advances and Challenges for Model and Data Engineering
Autor: Christian Attiogbé, Flavio Ferrarotti, Sofian Maabout
Publikováno v: Journal of Universal Computer Science, Vol 27, Iss 7, Pp 646-649 (2021)
Following the stimulating discussions in the workshops held during the 9th International Conference on Model and Data Engineering (MEDI 2019), we proposed to edit a special issue compiling the fruitful research resulting from those discussions. This
Externí odkaz: https://doaj.org/article/1bf2915528894c66bc97f68d799a5ca8
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2
Advances and Challenges for Model and Data Engineering
Autor: Sofian Maabout, Christian Attiogbé, Flavio Ferrarotti
Publikováno v: Journal of Universal Computer Science
Journal of Universal Computer Science, 27 (7), pp.646-649, 2021, ⟨10.3897/jucs.70972⟩
Journal of Universal Computer Science, Vol 27, Iss 7, Pp 646-649 (2021)
JUCS-Journal of Universal Computer Science 27(7): 646-649
Following the stimulating discussions in the workshops held during the 9th International Conference on Model and Data Engineering (MEDI 2019), we proposed to edit a special issue compiling the fruitful research resulting from those discussions. This
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a867854482903a1f6fb36de91931b949
https://doi.org/10.3897/jucs.70972
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4
Log Data Preparation for Predicting Critical Errors Occurrences
Autor: Sofian Maabout, Marie Beurton-Aimar, Myriam Lopez, Gayo Diallo
Publikováno v: Trends and Applications in Information Systems and Technologies
Trends and Applications in Information Systems and Technologies, 1366, pp.224-233, 2021, Advances in Intelligent Systems and Computing, ⟨10.1007/978-3-030-72651-5_22⟩
Advances in Intelligent Systems and Computing ISBN: 9783030726508
WorldCIST (2)
International audience; Failure anticipation is one of the key industrial research objectives with the advent of Industry 4.0. This paper presents an approach to predict high importance errors using log data emitted by machine tools. It uses the conc
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6817053cfce2578938f721d513fb0f90
https://hal.archives-ouvertes.fr/hal-03195735/file/Log_Data_Preparation_for_Predicting_Critical_Errors_Occurrences.pdf
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5
A Partitioning Approach for Skyline Queries in Presence of Partial and Dynamic Orders
Autor: Sofian Maabout, Karim Alami
Publikováno v: Transactions on Large-Scale Data-and Knowledge-Centered Systems XLIX ISBN: 9783662641477
Consider the case of tourists looking for flight tickets. While one may assume that every tourist does prefer lower price, the preference among the airline companies is on the one hand partial, i.e., some companies may be incomparable, and on the oth
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6348e9074253da6a54a45835276f70c3
https://doi.org/10.1007/978-3-662-64148-4_3
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6
Using Multidimensional Skylines for Regret Minimization
Autor: Karim Alami, Sofian Maabout
Publikováno v: Model and Data Engineering ISBN: 9783030784270
MEDI
Skyline and Top-K operators are both multi-criteria preference queries. The advantage of one is a limitation of the other: Top-k requires a scoring function while skyline does not, and Top-k output size is exactly K objects while skyline’s output c
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ffd46b13fb0565d02eb15aa0c21c40fe
https://doi.org/10.1007/978-3-030-78428-7_23
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8
A framework for multidimensional skyline queries over streaming data
Autor: Sofian Maabout, Karim Alami
Publikováno v: Data and Knowledge Engineering
Data and Knowledge Engineering, Elsevier, 2020, pp.101792. ⟨10.1016/j.datak.2020.101792⟩
Skyline query has attracted a great deal of interest during last years because of its ability to help decision makers when multi-criteria objectives are to be handled. Several authors have pointed the interest of multidimensional skylines, i.e., the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a2c7d437162654062a314127450ff96
https://hal.archives-ouvertes.fr/hal-02486686
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9
Multidimensional Skylines over Streaming Data
Autor: Sofian Maabout, Karim Alami
Publikováno v: Database Systems for Advanced Applications-24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, Proceedings, Lecture Notes in Computer Science
Database Systems for Advanced Applications-24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, Proceedings, Lecture Notes in Computer Science, pp.338-342, 2019, ⟨10.1007/978-3-030-18590-9_41⟩
Database Systems for Advanced Applications ISBN: 9783030185893
DASFAA (3)
We consider a stream where each record is described by a set of dimensions D. The records have a validity time interval of size \(\omega \). The queries we consider consist in retrieving the valid skyline records with respect to subsets \(D'\) (subsp
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbfc770b20da03ee6e71c9157ff72388
https://hal.archives-ouvertes.fr/hal-02326482
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10
Elektronická kniha
New Trends in Model and Data Engineering : MEDI 2019 International Workshops, DETECT, DSSGA, TRIDENT, Toulouse, France, October 28–31, 2019, Proceedings
Autor: Christian Attiogbé, Flavio Ferrarotti, Sofian Maabout
This book constitutes the thoroughly refereed papers of the workshops held at the 9th International Conference on New Trends in Model and Data Engineering, MEDI 2019, in Toulouse, France, in October 2019.The 12 full and the three short workshop paper
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