An accuracy-aware compression technique for multidimensional data cubes

  • Authors:
  • Alfredo Cuzzocrea

  • Affiliations:
  • University of Calabria, Cosenza, Italy

  • Venue:
  • Proceedings of the 2006 ACM symposium on Applied computing
  • Year:
  • 2006

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Abstract

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.