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Third International Workshop on Advanced Issues of E-Commerce and Web-Based Information Systems (WECWIS '01)
Data Classification and Management in Very Large Data Warehouses
San Juan, California
June 21-June 22
ISBN: 0-7695-1224-0
ASCII Text
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Kiran Chelluri, Vijay Kumar, "Data Classification and Management in Very Large Data Warehouses," Advanced Issues of E-Commerce and Web-Based Information Systems, International Workshop on, pp. 0052, Third International Workshop on Advanced Issues of E-Commerce and Web-Based Information Systems (WECWIS '01), 2001.
 
 
BibTex
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@article{ 10.1109/WECWIS.2001.933905,
author = {Kiran Chelluri and Vijay Kumar},
title = {Data Classification and Management in Very Large Data Warehouses},
journal ={Advanced Issues of E-Commerce and Web-Based Information Systems, International Workshop on},
volume = {0},
year = {2001},
isbn = {0-7695-1224-0},
pages = {0052},
doi = {http://doi.ieeecomputersociety.org/10.1109/WECWIS.2001.933905},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Advanced Issues of E-Commerce and Web-Based Information Systems, International Workshop on
TI - Data Classification and Management in Very Large Data Warehouses
SN - 0-7695-1224-0
SP
EP
A1 - Kiran Chelluri,
A1 - Vijay Kumar,
PY - 2001
KW - Grid file
KW - Stale data
KW - Data warehouse
KW - Time-wise
KW - and Real-time.
VL - 0
JA - Advanced Issues of E-Commerce and Web-Based Information Systems, International Workshop on
ER -
 
Kiran Chelluri, University of Missouri-Kansas City
Vijay Kumar, University of Missouri-Kansas City
Abstract: A data warehouse mainly deals with historical data and specialized retrieval. In this research we classify historical data and present scheme for their efficient handling. Our classification of historical data is based on their inherent properties and frequency of their use, which involves time. We have used a multi-dimensional Grid file organization for storing and supporting efficient management of historical data. We have defined operations such as merge, split, reorganize, etc., which are essential for managing the storage organization. The dynamic nature of the multi-dimensional grid file is used to identify and archive stale data and to optimize storage usage.
Index Terms:
Grid file, Stale data, Data warehouse, Time-wise, and Real-time.
Citation:
Kiran Chelluri, Vijay Kumar, "Data Classification and Management in Very Large Data Warehouses," wecwis, pp.0052, Third International Workshop on Advanced Issues of E-Commerce and Web-Based Information Systems (WECWIS '01), 2001
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