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VLDB
2001
ACM
109views Database» more  VLDB 2001»
13 years 12 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»
14 years 24 days 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
13 years 9 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»
14 years 1 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»
14 years 1 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