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Text cube: Computing ir measures for multidimensional text database analysis (2008)
| Content Provider | CiteSeerX |
|---|---|
| Author | Lin, Cindy Xide Ding, Bolin Han, Jiawei Zhu, Feida Zhao, Bo |
| Description | 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. 1 In ICDM |
| File Format | |
| Language | English |
| Publisher Date | 2008-01-01 |
| Access Restriction | Open |
| Subject Keyword | Text-cube Model Multidimensional Text Database Analysis Text Cube Study Effective Olap Multidimensional Information Data Cube High Promise Performance Study Driving Engine Efficient Text-cube Implementation Online Analytical Processing Jim Gray Ir Technique Traditional Olap Multidimensional Text Database Term Hierarchy Olap Execution Text Data Systematic Study Dimensional Hierarchy Computing Ir Measure Data Warehouse Industry Query Processing Data Cube Model |
| Content Type | Text |
| Resource Type | Article |
