Conference Proceeding Article
Since Jim Gray introduced the concept of ”data cube” in 1997, data cube, associated with online analytical processing (OLAP), has become a driving engine in data warehouse industry. Because the boom of Internet has given rise to an ever increasing amount of text data associated with other multidimensional information, it is natural to propose a data cube model that integrates the power of traditional OLAP and IR techniques for text. In this paper, we propose a Text-Cube model on multidimensional text database and study effective OLAP over such data. Two kinds of hierarchies are distinguishable inside: dimensional hierarchy and term hierarchy. By incorporating these hierarchies, we conduct systematic studies on efficient text-cube implementation, OLAP execution and query processing. Our performance study shows the high promise of our methods.
Cube, Text, OLAP
Databases and Information Systems
Data Management and Analytics
ICDM 2008: 8th IEEE International Conference on Data Mining: 15-19 December, Pisa, Italy: Proceedings
IEEE Computer Society
City or Country
Los Alamitos, CA
LIN, Cindy Xinde; DING, Bolin; HAN, Jiawei; ZHU, Feida; and ZHAO, Bo.
Text Cube: Computing IR Measures for Multidimensional Text Database Analysis. (2008). ICDM 2008: 8th IEEE International Conference on Data Mining: 15-19 December, Pisa, Italy: Proceedings. 905-910. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/1008
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