Introduction to the Sub-Interval Analysis. Part 2: Sub-Interval Images. Big Data
Introduction to the Sub-Interval Analysis. Part 2: Sub-Interval Images. Big Data

Summary/Abstract: An introduction to sub-interval images (S-IIs) is presented here. This article is the second part of the systematic introduction to the basics of the sub-interval analysis. Main notions of S-IIs are formulated. Cuboids of gravity, original-corresponded, uniform, and mixed S-IIs are described. Particular attention is focused on computer-corresponded S-IIs. General advantages of S-IIs and particular advantages of S-IIs for Big Data are considered. Sub-interval copies of databases are presented. Concepts of under-sorting and over-sorting 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, prospect theories, microeconomics and macroeconomics, especially in Big Data databases.

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