New sampling-based summary statistics for improving approximate query answers
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Approximate computation of multidimensional aggregates of sparse data using wavelets
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Selectivity Estimation Without the Attribute Value Independence Assumption
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
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A novel data cube compression technique, based on the well-known LSA method, is presented in this paper, along with its experimental evaluation against state-of-the-art approximate query answering techniques. Particularly, the proposed technique is able to drive the LSA-based compression process in dependence on the accuracy (i.e., the quality of the approximate answers) required from OLAP users/applications, thus drawing new scenarios for delivering summarized knowledge extracted from huge amounts of multidimensional data.