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BTW
2007
Springer
166views Database» more  BTW 2007»
14 years 4 months ago
Hierarchy-driven Visual Exploration of Multidimensional Data Cubes
: Analysts interact with OLAP data in a predominantly “drill-down” fashion, i.e. gradually descending from a coarsely grained overview towards the desired level of detail. Anal...
Svetlana Mansmann, Florian Mansmann, Marc H. Schol...
JDWM
2006
104views more  JDWM 2006»
13 years 9 months ago
Navigation Rules for Exploring Large Multidimensional Data Cubes
Navigating through multidimensional data cubes is a nontrivial task. Although On-Line Analytical Processing (OLAP) provides the capability to view multidimensional data through ro...
Navin Kumar, Aryya Gangopadhyay, George Karabatis,...
IDEAS
2008
IEEE
105views Database» more  IDEAS 2008»
14 years 4 months ago
Pruning attribute values from data cubes with diamond dicing
Data stored in a data warehouse are inherently multidimensional, but most data-pruning techniques (such as iceberg and top-k queries) are unidimensional. However, analysts need to...
Hazel Webb, Owen Kaser, Daniel Lemire
JASIS
2008
125views more  JASIS 2008»
13 years 9 months ago
A tool for data cube construction from structurally heterogeneous XML documents
Data cubes for OLAP (Online Analytical Processing) often need to be constructed from data located in several distributed and autonomous information sources. Such a data integratio...
Turkka Näppilä, Kalervo Järvelin, T...
SIGMOD
2008
ACM
158views Database» more  SIGMOD 2008»
14 years 10 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...