To Improve the Data Mining Search Algorithm using AI

Authors

  • Kunal P. RaghuvanshiDr. Muthulakshmi P

Keywords:

Data Mining, Artificial Intelligence, Neural Networks, Genetic Algorithm, Particle Swarm Optimization, Search Algorithms, Machine Learning, Big Data Analytics, Performance Optimization, Hybrid Methods

Abstract

The exponential growth of data in the digital era has necessitated the development of moresophisticated data mining algorithms capable of extracting meaningful patterns from vast, complexdatasets. Traditional data mining search algorithms face significant limitations in handling thevolume, variety, and velocity of modern big data

References

Najafabadi, M.M., Villanustre, F., Khoshgoftaar, T.M., et al. (2015). Deep learning applications and challenges in big data analytics. Journal of Big Data, 2(1), 1-40. Retrieved from https://journalofbigdata.springeropen.com/articles/10.1186/s40537-014-0007-7

Rancho Biosciences. (2025, March 3). What Is Data Mining in AI? Retrieved from https://ranchobiosciences.com/2024/10/artificial-intelligence-and-data-mining/

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Published

2024-05-20

How to Cite

Kunal P. RaghuvanshiDr. Muthulakshmi P. (2024). To Improve the Data Mining Search Algorithm using AI . Journal of Computational Analysis and Applications (JoCAAA), 33(05), 2157–2170. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3229

Issue

Vol. 33 No. 05 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.