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DAWAK
2009
Springer
12 years 2 months ago
Recommending Multidimensional Queries.
Interactive analysis of datacube, in which a user navigates a cube by launching a sequence of queries is often tedious since the user may have no idea of what the forthcoming query...
Arnaud Giacometti, Elsa Negre, Patrick Marcel
ISR
2011
11 years 5 days ago
REQUEST: A Query Language for Customizing Recommendations
Initially popularized by Amazon.com, recommendation technologies have become widespread over the past several years. However, the types of recommendations available to the users i...
Gediminas Adomavicius, Alexander Tuzhilin, Rong Zh...
ICEIS
2009
IEEE
11 years 2 months ago
Applying Recommendation Technology in OLAP Systems
OLAP systems offering multidimensional and large information space cannot solely rely on standard navigation but need to apply recommendations to make the analysis process easy and...
Houssem Jerbi, Franck Ravat, Olivier Teste, Gilles...
ADBIS
2007
Springer
130views Database» more  ADBIS 2007»
11 years 7 months ago
Graphical Querying of Multidimensional Databases
This paper provides an answer-oriented multidimensional analysis environment. The approach is based on a conceptual point of view. We define a conceptual model that represents data...
Franck Ravat, Olivier Teste, Ronan Tournier, Gille...
SIGMOD
2008
ACM
158views Database» more  SIGMOD 2008»
12 years 5 months ago
Sampling cube: a framework for statistical olap over sampling data
Sampling is a popular method of data collection when it is impossible or too costly to reach the entire population. For example, television show ratings in the United States are g...
Xiaolei Li, Jiawei Han, Zhijun Yin, Jae-Gil Lee, Y...
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