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VLDB
2001
ACM
109views Database» more  VLDB 2001»
15 years 5 months ago
Mining Multi-Dimensional Constrained Gradients in Data Cubes
Constrained gradient analysis (similar to the “cubegrade” problem posed by Imielinski, et al. [9]) is to extract pairs of similar cell characteristics associated with big chan...
Guozhu Dong, Jiawei Han, Joyce M. W. Lam, Jian Pei...
VLDB
2004
ACM
178views Database» more  VLDB 2004»
15 years 6 months ago
High-Dimensional OLAP: A Minimal Cubing Approach
Data cube has been playing an essential role in fast OLAP (online analytical processing) in many multi-dimensional data warehouses. However, there exist data sets in applications ...
Xiaolei Li, Jiawei Han, Hector Gonzalez
DOLAP
2005
ACM
15 years 3 months ago
Parallel querying of ROLAP cubes in the presence of hierarchies
Online Analytical Processing is a powerful framework for the analysis of organizational data. OLAP is often supported by a logical structure known as a data cube, a multidimension...
Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chapl...
ICDE
2007
IEEE
172views Database» more  ICDE 2007»
15 years 7 months ago
A New Data Cube for Integrating Data Mining and OLAP
Recently there is much need of discovering useful knowledge from massive log-data which are generated by Webbased information systems. Such log-data have multiple attributes about...
Tadashi Ohmori, Masahide Naruse, Mamoru Hoshi
IDEAS
2008
IEEE
105views Database» more  IDEAS 2008»
15 years 7 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