Sub-interval images. Big Data

Harin, Alexander (2021): Sub-interval images. Big Data.

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.

• Item Type: MPRA Paper
• Language: English
• Keywords: mathematic; databases; Big Data; utility theory; prospect theory; economics
• Subjects: C - Mathematical and Quantitative Methods > C0 - General > C02 - Mathematical Methods; C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General; D - Microeconomics > D8 - Information, Knowledge, and Uncertainty

References

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