Maintenance of data cubes and summary tables in a warehouse
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Optimal aggregation algorithms for middleware
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals
Data Mining and Knowledge Discovery
Proceedings of the 17th International Conference on Data Engineering
Efficient Progressive Skyline Computation
Proceedings of the 27th International Conference on Very Large Data Bases
An optimal and progressive algorithm for skyline queries
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Efficient computation of the skyline cube
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Shooting stars in the sky: an online algorithm for skyline queries
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Efficient mining of skyline objects in subspaces over data streams
Knowledge and Information Systems
| Hi-index | 0.00 |
Skyline query processing has recently received a lot of attention in database community. And reference [1] considers the problem of efficiently computing a SkyCube, Which consists of skylines of all possible non-empty subsets of a given set of dimensions. However, the SkyCube is can not use further as original data set is changed. In this paper, we propose a novel incremental maintenance algorithm of SkyCube, called IMASCIR. IMASCIR splits the maintenance work into two phases: identify and refresh. All the materialized SkyCube views share two tables which stores the net change to the view due to the change to the original data set. In the phase of identify, we identify and store the source changes into these shared tables. Then in the phase of refresh, each materialized view is refreshed individually by applying these two shared tables. Furthermore, our experiment demonstrated that IMASCIR is both efficient and effective.