A conceptual modeling approach for OLAP personalization
Data warehouses rely on multidimensional models in order to provide decision makers with
appropriate structures to intuitively analyze data with OLAP technologies. However, data …
appropriate structures to intuitively analyze data with OLAP technologies. However, data …
RoK: Roll-up with the k-means clustering method for recommending OLAP queries
F Bentayeb, C Favre - Database and Expert Systems Applications: 20th …, 2009 - Springer
Dimension hierarchies represent a substantial part of the data warehouse model. Indeed
they allow decision makers to examine data at different levels of detail with On-Line …
they allow decision makers to examine data at different levels of detail with On-Line …
Management of context-aware preferences in multidimensional databases
Personalization of information systems brings new challenges to OLAP technology. A key
characteristic of emerging OLAP database systems will be customizability of their behaviour …
characteristic of emerging OLAP database systems will be customizability of their behaviour …
A spatial data warehouse recommendation approach: conceptual framework and experimental evaluation
Spatial data warehouses store a large amount of historized and aggregated data. They are
usually exploited by Spatial OLAP (SOLAP) systems to extract relevant information …
usually exploited by Spatial OLAP (SOLAP) systems to extract relevant information …
[PDF][PDF] Personnalisation dans les entrepôts de données: bilan et perspectives.
Nous étudions dans cet article les enjeux et les opportunités relevant de la prise en compte
des utilisateurs au sein des entrepôts de données. Pour ce faire, nous présentons tout …
des utilisateurs au sein des entrepôts de données. Pour ce faire, nous présentons tout …
Olap personalization with user-describing profiles
N Kozmina, L Niedrite - … in Business Informatics Research: 9th International …, 2010 - Springer
In this paper we have highlighted five existing approaches for introducing personalization in
OLAP: preference constructors, dynamic personalization, visual OLAP, recommendations …
OLAP: preference constructors, dynamic personalization, visual OLAP, recommendations …
OLAP queries context-aware recommender system
It becomes hard and tedious to easily obtain relevant decisional data in large data
warehouses. In order to ease user exploration during on-line analytical processing analysis …
warehouses. In order to ease user exploration during on-line analytical processing analysis …
A survey of user-centric data warehouses: from personalization to recommendation
EB Ahmed, A Nabli, F Gargouri - arXiv preprint arXiv:1107.1779, 2011 - arxiv.org
Providing a customized support for the OLAP brings tremendous challenges to the OLAP
technology. Standing at the crossroads of the preferences and the data warehouse, two …
technology. Standing at the crossroads of the preferences and the data warehouse, two …
A framework for OLAP content personalization
A perennial challenge faced by many organizations is the management of their increasingly
large multidimensional databases (MDB) that can contain millions of data instances. The …
large multidimensional databases (MDB) that can contain millions of data instances. The …
Evaluation of secure peer-to-peer overlay routing for survivable scada systems
JJ Farris, DM Nicol - … of the 2004 Winter Simulation Conference …, 2004 - ieeexplore.ieee.org
Supervisory control and data acquisition (SCADA) systems gather and analyze data for real-
time control. SCADA systems are used extensively, in applications such as electrical power …
time control. SCADA systems are used extensively, in applications such as electrical power …