TY - GEN
T1 - Integrating OLAP and ranking
T2 - Workshops in Conjunction with the 23rd International Conference on Data Engineering - ICDE 2007
AU - Xin, Dong
AU - Han, Jiawei
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=48349126057&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=48349126057&partnerID=8YFLogxK
U2 - 10.1109/ICDEW.2007.4401000
DO - 10.1109/ICDEW.2007.4401000
M3 - Conference contribution
AN - SCOPUS:48349126057
SN - 1424408326
SN - 9781424408320
T3 - Proceedings - International Conference on Data Engineering
SP - 253
EP - 256
BT - Workshops in Conjunction with the International Conference on Data Engineering - ICDE' 07
Y2 - 15 April 2007 through 20 April 2007
ER -