Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Youcef Ouinten"'
Autor:
Hanane Amirat, Nasreddine Lagraa, Philippe Fournier-Viger, Youcef Ouinten, Mohammed Lamine Kherfi, Younes Guellouma
Publikováno v:
Applied Intelligence. 53:7562-7598
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ad4523bebcf77ea0ded34a334207d63
https://doi.org/10.1007/s10489-022-03842-4
https://doi.org/10.1007/s10489-022-03842-4
Publikováno v:
COMPUTING AND INFORMATICS; Vol 37, No 4 (2018): Computing and Informatics; 915-945
Vertical partitioning is the process of subdividing the attributes of a relation into groups, creating fragments. It represents an effective way of improving performance in the database systems where a significant percentage of query processing time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94755805ba2d43fd193a46a819496155
https://doi.org/10.4149/cai_2018_4_915
https://doi.org/10.4149/cai_2018_4_915
Publikováno v:
International Journal of Information Management
International Journal of Information Management, Elsevier, 2017, 37 (6), pp.684-69. ⟨10.1016/j.ijinfomgt.2017.06.005⟩
International Journal of Information Management, Elsevier, 2017, 37 (6), pp.684-69. ⟨10.1016/j.ijinfomgt.2017.06.005⟩
International audience; In the last decade, OnLine Analytical Processing (OLAP) has taken an increasingly important role as a research field. Solutions, techniques and tools have been provided for both databases and data warehouses to focus mainly on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcc11ced445f5428ce0b44cf3391cd83
https://doi.org/10.1016/j.ijinfomgt.2017.06.005
https://doi.org/10.1016/j.ijinfomgt.2017.06.005
Publikováno v:
Journal of Communications. :668-676
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3935e54f26bff420e330506d61120d8c
https://doi.org/10.12720/jcm.12.12.668-676
https://doi.org/10.12720/jcm.12.12.668-676
Publikováno v:
2018 International Conference on Smart Communications in Network Technologies (SaCoNeT).
Security in Vehicular Ad Hoc Networks (VANETs) has become a hot research area due to its life-saving characteristic. It mainly depends on the reliability of data exchanged by vehicles (sent, received, forwarded) that includes crucial information such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1459b24a6fb99c029b1f88172a573f14
https://doi.org/10.1109/saconet.2018.8585454
https://doi.org/10.1109/saconet.2018.8585454
Publikováno v:
Applied Intelligence
Applied Intelligence, Springer Verlag (Germany), 2017, ⟨10.1007/s10489-017-1050-9⟩
Applied Intelligence, Springer Verlag (Germany), 2017, ⟨10.1007/s10489-017-1050-9⟩
International audience; Abstract Text mining approaches are commonly used to discover relevant information and relationships in hugeamounts of text data. The term data mining refers to methods for analyzing data with the objective of finding patterns
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0296cc9fa2fc475c58bfd86e5b70ed99
https://halshs.archives-ouvertes.fr/halshs-01577035
https://halshs.archives-ouvertes.fr/halshs-01577035
Autor:
Youcef Ouinten, Benameur Ziani
Publikováno v:
Intelligent Decision Technologies. 7:279-292
System performance for data warehouses is crucially dependent on its physical design in which one of the most challenging tasks is the selection of an appropriate set of indexes for a representative workload under storage constraint. The problem beco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce0d455f424ed2c0224976ff5dd807b1
https://doi.org/10.3233/idt-130169
https://doi.org/10.3233/idt-130169
Publikováno v:
International Conference on Enterprise Information Systems (ICEIS 2016)
International Conference on Enterprise Information Systems (ICEIS 2016), Apr 2016, Rome, Italy
HAL
International Conference on Enterprise Information Systems (ICEIS 2016), Apr 2016, Rome, Italy
HAL
International audience; We present in this paper a system for textual aggregation from scientific documents in the online analytical processing (OLAP) context. The system extracts keywords automatically from a set of documents according to the lists
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2c50ecbadcb875950678c41b13b5f5ed
https://halshs.archives-ouvertes.fr/halshs-01384654
https://halshs.archives-ouvertes.fr/halshs-01384654
Publikováno v:
International Journal of Business Intelligence and Data Mining
International Journal of Business Intelligence and Data Mining, Inderscience, 2016, 11 (1), pp.31-48
HAL
International Journal of Business Intelligence and Data Mining, Inderscience, 2016, 11 (1), pp.31-48
HAL
International audience; Data warehousing and On-Line Analytical Processing (OLAP) are essential elements to decision support. In the case of textual data, decision support requires new tools, mainly textual aggregation functions, for better and faste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fd24df0a7aab5064a686e4f69c968a5
https://halshs.archives-ouvertes.fr/halshs-01231490
https://halshs.archives-ouvertes.fr/halshs-01231490
Publikováno v:
ICEIS (1)
We present in this paper a system for textual aggregation from scientific documents in the online analytical processing (OLAP) context. The system extracts keywords automatically from a set of documents according to the lists compiled in the Microsof
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::153a230cbaea2cc5257b69522b579344
https://doi.org/10.5220/0005879702320237
https://doi.org/10.5220/0005879702320237