Sub-interval images. Big Data

Alexander Harin

MPRA Paper from University Library of Munich, Germany

Abstract: A systematic introduction to sub-interval images (or SI-images or S-IIs) is presented here. General outlook of possible use of the SI-analysis for Big Data is given. Basic notions of S-IIs are formulated including cuboids of gravity and sub-interval copies of databases. Two concepts of SII-indexing are proposed for Big Data databases. The S-IIs can be used in, e.g., search, and recognition in databases in, e.g., accounting and audit, micro- and macroeconomics, especially in Big Data databases.

Keywords: mathematic; databases; Big Data; utility theory; prospect theory; economics (search for similar items in EconPapers)
JEL-codes: C02 C1 D8 (search for similar items in EconPapers)
Date: 2021-11-22
New Economics Papers: this item is included in nep-acc, nep-big, nep-ore and nep-upt
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:110782

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