Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Riadh Ben Messaoud"'
Publikováno v:
Transactions on Large-Scale Data-and Knowledge-Centered Systems XXI ISBN: 9783662478035
On-line Analytical Processing (OLAP) represents a good applications package to explore and navigate into data cubes. Though, it is limited to exploratory tasks. It does not assist the decision maker in performing information investigation. Thus, vari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29c6e351fa02cc62ad3d50d0f73f469f
https://doi.org/10.1007/978-3-662-47804-2_4
https://doi.org/10.1007/978-3-662-47804-2_4
Publikováno v:
HAL
International Journal of Data Warehousing and Mining (IJDWM)
International Journal of Data Warehousing and Mining (IJDWM), IGI Global, 2006, 2 (4), pp.1-26
International Journal of Data Warehousing and Mining (IJDWM)
International Journal of Data Warehousing and Mining (IJDWM), IGI Global, 2006, 2 (4), pp.1-26
International audience; Nowadays, most organizations deal with complex data having different formats and coming from different sources. The XML formalism is evolving and becoming a promising solution for modelling and warehousing these data in decisi
Publikováno v:
Proceedings DaWaK 2012 : 14th International Conference on Data Warehousing and Knowledge Discovery
DaWaK 2012 : 14th International Conference on Data Warehousing and Knowledge Discovery
DaWaK 2012 : 14th International Conference on Data Warehousing and Knowledge Discovery, Sep 2012, Vienna, Austria. pp.117-129, ⟨10.1007/978-3-642-32584-7_10⟩
Data Warehousing and Knowledge Discovery ISBN: 9783642325830
DaWaK
DaWaK 2012 : 14th International Conference on Data Warehousing and Knowledge Discovery
DaWaK 2012 : 14th International Conference on Data Warehousing and Knowledge Discovery, Sep 2012, Vienna, Austria. pp.117-129, ⟨10.1007/978-3-642-32584-7_10⟩
Data Warehousing and Knowledge Discovery ISBN: 9783642325830
DaWaK
International audience; In the Data Warehouse (DW) technology, On-line Analytical Processing (OLAP) is a good applications package that empowers decision makers to explore and navigate into a multidimensional structure of precomputed measures, which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::199f7c8d8ca4b766e569373d9cc5f2cf
https://hal.archives-ouvertes.fr/hal-01299310
https://hal.archives-ouvertes.fr/hal-01299310
Publikováno v:
Proceedings ADMA 2012 : 8th International Conference on Advanced Data Mining and Applications
ADMA 2012 : 8th International Conference on Advanced Data Mining and Applications
ADMA 2012 : 8th International Conference on Advanced Data Mining and Applications, Dec 2012, Nanjing, China. pp.340-352
Advanced Data Mining and Applications ISBN: 9783642355264
ADMA
ADMA 2012 : 8th International Conference on Advanced Data Mining and Applications
ADMA 2012 : 8th International Conference on Advanced Data Mining and Applications, Dec 2012, Nanjing, China. pp.340-352
Advanced Data Mining and Applications ISBN: 9783642355264
ADMA
International audience; OLAP techniques provide efficient solutions to navigate through data cubes. However, they are not equipped with frameworks that empower user investigation of interesting information. They are restricted to exploration tasks. R
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::009d7997734cf3d0e8c3507a8f5a2491
https://hal.archives-ouvertes.fr/hal-01299260
https://hal.archives-ouvertes.fr/hal-01299260
Publikováno v:
Advances in Knowledge Discovery and Management ISBN: 9783642258374
EGC (best of volume)
EGC (best of volume)
To efficiently answer OLAP queries on data warehouses, pre-computed data cubes provide an interesting solution. Nevertheless, the amount of generated aggregated data is huge and requires large amounts of storage space and mining time. To address this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88f7cc6d655fb38b641a1fe185081e83
https://doi.org/10.1007/978-3-642-25838-1_2
https://doi.org/10.1007/978-3-642-25838-1_2
Current data warehouses deal for the most part with numerical data. However, decision makers need to analyze data presented in all formats which one can qualify as complex data. Warehousing complex data is a new challenge for the scientific community
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b4116544f8ca110b3c9a2ff3abb09ab
https://doi.org/10.4018/978-1-60566-308-1.ch013
https://doi.org/10.4018/978-1-60566-308-1.ch013
Publikováno v:
HAL
Database (Weston, Conn.)s and Information Systems IV. Frontiers in Artificial Intelligence and Applications
Database (Weston, Conn.)s and Information Systems IV. Frontiers in Artificial Intelligence and Applications, 2007, 155 (1), pp.133-146
Database (Weston, Conn.)s and Information Systems IV. Frontiers in Artificial Intelligence and Applications
Database (Weston, Conn.)s and Information Systems IV. Frontiers in Artificial Intelligence and Applications, 2007, 155 (1), pp.133-146
International audience; On Line Analytical Processing (OLAP) is a technology basically created to provide users with tools in order to explore and navigate into data cubes. Unfortunately, in huge and sparse data, exploration becomes a tedious task an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4f6fc06240f4dfbd903291f3e46a40c0
https://shs.hal.science/halshs-00476483
https://shs.hal.science/halshs-00476483
Publikováno v:
Data Mining and Knowledge Discovery Technologies
Data Mining and Knowledge Discovery Technologies, Idea Group Inc., pp.35, 2007, Advances in Data Warehousing and Mining
HAL
Data Mining and Knowledge Discovery Technologies, Idea Group Inc., pp.35, 2007, Advances in Data Warehousing and Mining
HAL
Data warehouses and OLAP (online analytical processing) provide tools to explore and navigate through data cubes in order to extract interesting information under different perspectives and levels of granularity. Nevertheless, OLAP techniques do not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9963df7ae5774377e4a579e4e206e21f
https://halshs.archives-ouvertes.fr/halshs-00476503/document
https://halshs.archives-ouvertes.fr/halshs-00476503/document
Publikováno v:
2006 Innovations in Information Technology.
On-line analytical processing (OLAP) provides tools to explore data cubes in order to extract interesting information. Nevertheless, OLAP is not capable of explaining relationships that could exist within data. Association rules are one kind of data
Publikováno v:
KDD
In the On Line Analytical Processing (OLAP) context, exploration of huge and sparse data cubes is a tedious task which does not always lead to efficient results. In this paper, we couple OLAP with the Multiple Correspondence Analysis (MCA) in order t