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Scientific and Technical Information Processing

, Volume 44, Issue 6, pp 406–411 | Cite as

On the Complexity of the Reduction of Multidimensional Data Models

  • A. A. Akhrem
  • V. Z. Rakhmankulov
  • K. V. Yuzhanin
Article

Abstract

In this paper, decomposition methods for multidimensional data hypercubes of OLAP systems are investigated. Criteria for reducing the computational complexity of the decomposition methods are presented and comparisons are made with the traditional solutions of multidimensional data analysis problems. Examples illustrating the application of these criteria to investigating the dynamics of computational complexity changes for specific types of reduction problems are considered.

Keywords

hypercube hypercube multidimensional data computational complexity and decomposition methods 

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Copyright information

© Allerton Press, Inc. 2017

Authors and Affiliations

  • A. A. Akhrem
    • 1
  • V. Z. Rakhmankulov
    • 1
  • K. V. Yuzhanin
    • 1
  1. 1.Institute for System Analysis, Computer Science and Control Federal Research CenterRussian Academy of SciencesMoscowRussia

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