TITLE
METHODOLOGY FOR DATABASE NORMALIZATION USING ARTIFICIAL INTELLIGENCE
AUTHOR(S)
Aldeniz Rashidov*, Fatme Rashidova
ABSTRACT
This paper explores the process of database normalization using artificial intelligence (AI). Normalization is a key stage in database design, aiming to eliminate redundancy, minimize anomalies, and improve the efficiency of data storage and processing. The paper presents the fundamental theoretical concepts of normalization, includ-ing functional dependencies and normal forms, and analyzes the challenges associated with manual normaliza-tion in complex databases. The main focus is on the application of AI — through machine learning, expert sys-tems, and hybrid approaches — for automatically detecting dependencies, recommending optimal structures, and transforming tables. The paper provides examples of automated normalization, along with a discussion of the benefits and limitations of the approach, as well as potential directions for future research. The study demonstrates that integrating AI into the normalization process significantly enhances the design of efficient,consistent, and optimized databases.
DOI
DOWNLOAD
https://unitech.tugab.bg/images/2025/dokladi/5-Automation%20and%20Robotics/p19_s5_u14_id19.pdf
How to cite this article:
Aldeniz Rashidov*, Fatme Rashidova, METHODOLOGY FOR DATABASE NORMALIZATION USING ARTIFICIAL INTELLIGENCE, UNITECH – SELECTED PAPERS - 2025