Paper Info
Title
Efficient Incremental Computation of CUBE in Multiple Versions What-If Analysis
Abstract
What-if analysis is an important method to analyze the hypothetical scenarios based on the historical data. It provides useful information for the decision-maker. Multiple versions are critical to what-if analysis. In this paper, we analyze the problem of multiple versions data processing and the incremental computation of cubes in what-if analysis, proposing a strategy to process multiple versions of what-if data. Our solution can adopt different data processing methods according to the type of aggregate functions, the efficiency of multiple versions data processing is improved. Furthermore, we proposes an algorithm of incremental computation of CUBE for max(min) function to reduce the access time of fact table, and the experimental results showed that the performance is improved about 10%.
Year
DOI
Venue
2009
10.1007/978-3-642-00672-2_22
APWeb/WAIM
Keywords
Field
DocType
multiple versions data processing,access time,historical data,different data,what-if analysis,multiple versions what-if analysis,efficient incremental computation,what-if data,aggregate function,incremental computation,multiple version,decision maker,data processing,cube
Data processing,Fact table,Access time,Computer science,Algorithm,Theoretical computer science,Data cube,Computation,Cube
Conference
Volume
ISSN
Citations 
5446
0302-9743
0
PageRank 
References 
Authors
0.34
12
4
Name
Order
Citations
PageRank
Yanqin Xiao141.51
Yansong Zhang2269.75
Shan Wang359471.65
Hong Chen49923.20