Integrating OLAP and Ranking: The Ranking-Cube Methodology

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.

• Type: Conference
• Year: 2007
• Where: ICDE
• Authors: Dong Xin, Jiawei Han
• Keywords: Database, ICDE 2007, OLAP, Ranking, Ranking Cube