A Comprehensive Review of AI-Driven Data Mining Techniques

  • A.I. A
  • Saif Khalid Abdullah
  • Prof. Dr. Yusra F. Mohammed
  • et al.
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Abstract

This comprehensive review explores the evolution and current state of AI-driven data mining techniques, emphasizing their transformative impact across various sectors. We delve into key algorithms, including machine learning and deep learning methods, and their applications in fields such as healthcare, finance, and marketing. By synthesizing recent advancements and challenges, this paper aims to provide an ultimate overview of how these techniques enhance data analysis, uncover hidden patterns, and drive decision-making processes.

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APA

A.I., A., Saif Khalid Abdullah, Prof. Dr. Yusra F. Mohammed, Mahdi Imad Hamdi, & Zaid Khalaf Hussein. (2024). A Comprehensive Review of AI-Driven Data Mining Techniques. Al-Noor Journal for Information Technology and Cybersecurity, 1. https://doi.org/10.69513/jnfit.v1.i0.a3

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