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Introduction to sub-interval analysis. Part 2. Sub-interval images. Big Data

Author

Listed:
  • Harin, Alexander

Abstract

This is the second part of the systematic introduction to the sub-interval analysis. In particular, an introduction to sub-interval images (or SI-images or S-IIs or SIIs) is presented here. Basic notions of the sub-interval images are formulated. Some concepts of SII-indexing are proposed. A short general outlook of possible use of the SI-analysis for Big Data is given. The S-IIs can be used mainly in approximations and preliminary operations such as preliminary analysis, search, and recognition in databases; in, e.g., accounting and audit, micro- and macroeconomics and, especially, in Big Data.

Suggested Citation

  • Harin, Alexander, 2026. "Introduction to sub-interval analysis. Part 2. Sub-interval images. Big Data," MPRA Paper 130725, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:130725
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    File URL: https://mpra.ub.uni-muenchen.de/130725/1/MPRA_paper_130725.pdf
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    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • M4 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting

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