Title :
Integrating OLAP and Ranking: The Ranking-Cube Methodology
Author :
Xin, Dong ; Han, Jiawei
Author_Institution :
Univ. of Illinois at Urbana-Champaign, Urbana
Abstract :
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.
Keywords :
data analysis; data mining; OLAP; data analysis; data exploration; database systems; multidimensional data analysis; multidimensional data ranking; online analytical processing; ranking-cube methodology; Computational modeling; Computer science; Data analysis; Data warehouses; Database systems; Multidimensional systems; Multimedia databases; Proposals; Query processing; Statistics;
Conference_Titel :
Data Engineering Workshop, 2007 IEEE 23rd International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-0832-0
Electronic_ISBN :
978-1-4244-0832-0
DOI :
10.1109/ICDEW.2007.4401000
