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International Journal of Applied Research
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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

g-index: 90

Vol. 11, Issue 1, Part E (2025)

A systematic review of the applications of applied mathematics to enhance artificial intelligence systems in data analysis for E-commerce

A systematic review of the applications of applied mathematics to enhance artificial intelligence systems in data analysis for E-commerce

Author(s)
Hazim Salman Majeed
Abstract

This paper carries out a systematic review of the use of mathematics to augment applied artificial intelligence systems with a specific use case in data analysis in e-commerce. With the growth of e-commerce, there is an ever-increasing need for AI systems within businesses to make sense of large volumes of data and analyze them strategically to make choices. Through a survey of a variety of branches of mathematics such as linear algebra, statistics, and mathematical analysis, this paper demonstrates the potential advantages and effectiveness of predictive models used by AI in e-commerce. The paper will also mention the issues that a researcher encounters while trying to bring together these mathematical methods and intelligent algorithms.

Pages: 352-361  |  58 Views  28 Downloads


International Journal of Applied Research
How to cite this article:
Hazim Salman Majeed. A systematic review of the applications of applied mathematics to enhance artificial intelligence systems in data analysis for E-commerce. Int J Appl Res 2025;11(1):352-361. DOI: 10.22271/allresearch.2025.v11.i1e.12309
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