MAIN CONCEPTS ABOUT DATA MINING AND ITS TENDENCIES FOR THE FUTURE

Authors

  • Danilo Lima Almeida Faculdade de Tecnologia de Taquaritinga (Fatec) – Taquaritinga – São Paulo – Brasil
  • Giuliano Scombatti Pinto Faculdade de Tecnologia de Taquaritinga (Fatec) – Taquaritinga – São Paulo – Brasil

DOI:

https://doi.org/10.31510/infa.v22i1.2244

Keywords:

Data mining, machine learning, artificial intelligence

Abstract

Data mining is a crucial process for extracting useful knowledge from large amounts of data. By using statistical techniques, machine learning, and artificial intelligence, data mining allows the identification of patterns, trends, and relationships hidden in data. The objective of this article is to examine the main ideas of data mining, covering its phases, functions, and trends. A methodology was used for the literature review. The results demonstrated that the use of data mining is a fundamental part of the company, mainly in helping to attract customers and also in fraud prevention and cybersecurity. It is concluded that without its use, companies would not be able to act quickly to meet customer needs and improve how people interact with information, with innovation and strategic decision-making.

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References

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Published

2025-10-24

Issue

Section

Tecnologia em Informática

How to Cite

ALMEIDA, Danilo Lima; PINTO, Giuliano Scombatti. MAIN CONCEPTS ABOUT DATA MINING AND ITS TENDENCIES FOR THE FUTURE. Revista Interface Tecnológica, Taquaritinga, SP, v. 22, n. 1, p. 170–180, 2025. DOI: 10.31510/infa.v22i1.2244. Disponível em: https://revista.fatectq.edu.br/interfacetecnologica/article/view/2244. Acesso em: 5 dec. 2025.