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SIGMOD
1996
ACM
120views Database» more  SIGMOD 1996»
13 years 8 months ago
Implementing Data Cubes Efficiently
Decision support applications involve complex queries on very large databases. Since response times should be small, query optimization is critical. Users typically view the data ...
Venky Harinarayan, Anand Rajaraman, Jeffrey D. Ull...
SIGMOD
1997
ACM
107views Database» more  SIGMOD 1997»
13 years 8 months ago
Range Queries in OLAP Data Cubes
A range query applies an aggregation operation over all selected cells of an OLAP data cube where the selection is speci ed by providing ranges of values for numeric dimensions. W...
Ching-Tien Ho, Rakesh Agrawal, Nimrod Megiddo, Ram...
IPPS
1998
IEEE
13 years 8 months ago
High Performance Data Mining Using Data Cubes on Parallel Computers
On-Line Analytical Processing techniques are used for data analysis and decision support systems. The multidimensionality of the underlying data is well represented by multidimens...
Sanjay Goil, Alok N. Choudhary
CIKM
1999
Springer
13 years 8 months ago
Requirement-Based Data Cube Schema Design
On-line analytical processing (OLAP) requires e cient processing of complex decision support queries over very large databases. It is well accepted that pre-computed data cubes ca...
David Wai-Lok Cheung, Bo Zhou, Ben Kao, Hongjun Lu...
DAWAK
2000
Springer
13 years 9 months ago
Data Cube Compression with QuantiCubes
: Data warehouses typically store a multidimensional fact representation of the data that can be used in any type of analysis. Many applications materialize data cubes as multidime...
Pedro Furtado, Henrique Madeira
DOLAP
2000
ACM
13 years 9 months ago
CUBIST: A New Algorithm For Improving the Performance of Ad-hoc OLAP Queries
Being able to efficiently answer arbitrary OLAP queries that aggregate along any combination of dimensions over numerical and categorical attributes has been a continued, major co...
Lixin Fu, Joachim Hammer
VLDB
2001
ACM
115views Database» more  VLDB 2001»
13 years 9 months ago
Dynamic Update Cube for Range-sum Queries
A range-sum query is very popular and becomes important in finding trends and in discovering relationships between attributes in diverse database applications. It sums over the se...
Seok-Ju Chun, Chin-Wan Chung, Ju-Hong Lee, Seok-Ly...
ICDT
2001
ACM
147views Database» more  ICDT 2001»
13 years 9 months ago
Parallelizing the Data Cube
This paper presents a general methodology for the efficient parallelization of existing data cube construction algorithms. We describe two different partitioning strategies, one f...
Frank K. H. A. Dehne, Todd Eavis, Susanne E. Hambr...
IPPS
2003
IEEE
13 years 9 months ago
Parallel ROLAP Data Cube Construction On Shared-Nothing Multiprocessors
The pre-computation of data cubes is critical to improving the response time of On-Line Analytical Processing (OLAP) systems and can be instrumental in accelerating data mining tas...
Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andre...
VLDB
2004
ACM
178views Database» more  VLDB 2004»
13 years 10 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