• Hemang Desai

Data mining has emerged as a critical tool for extracting valuable knowledge from large volumes of data. This paper presents a comprehensive review of the latest data mining techniques, their applications in diverse domains such as healthcare, finance, and social media, and the challenges faced in the field. By exploring the evolution of key algorithms, emerging trends in machine learning, and big data, this paper highlights the growing significance of data mining in real-world applications and its future potential.

Data warehousing, data mining, business intelligence, knowledge discovery, analytics, big data, predictive analytics.

"The Transition from Data Warehousing to Data Mining: An Evolution in Business Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.1, Issue 3, page no.363-367, August-2014, Available :http://www.jetir.org/papers/JETIR1701D05.pdf

"The Transition from Data Warehousing to Data Mining: An Evolution in Business Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.1, Issue 3, page no. pp363-367, August-2014, Available at : http://www.jetir.org/papers/JETIR1701D05.pdf