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Integrating olap and ranking: The ranking-cube methodology (2007)
| Content Provider | CiteSeerX |
|---|---|
| Author | Xin, Dong Han, Jiawei |
| Description | OLAP (On-Line Analytical Processing) and Ranking are currently separate technologies in the database systems. OLAP emphasizes on efficient multidimensional data analysis and ranking is good for effective data exploration in massive data. In this paper, we discuss the problem of integrating OLAP and ranking, such that ranking serves as a function block for data analysis and exploration in the OLAP environment. Towards this goal, we present the ranking cube: a semi off-line materialization and semi online computation model. This paper discusses the framework, the implementation issues and the possible extensions of the ranking cube. |
| File Format | |
| Language | English |
| Publisher Date | 2007-01-01 |
| Publisher Institution | In Proc. of the 23rd International Conference on Data Engineering (ICDE) Workshops |
| Access Restriction | Open |
| Subject Keyword | Efficient Multidimensional Data Analysis Function Block Effective Data Exploration On-line Analytical Processing Database System Separate Technology Massive Data Olap Environment Possible Extension Implementation Issue Semi Online Computation Model Ranking-cube Methodology Data Analysis Ranking Cube Semi Off-line Materialization |
| Content Type | Text |
| Resource Type | Article |
