Article Review: Artificial Intelligence in Data Mining, Tools, and Case Studies

Abstract

     This review paper examines the integration of Artificial Intelligence (AI) within data mining, focusing on various algorithms, tools, and applications across different sectors. The review details the strengths and weaknesses of key algorithms such as supervised learning, unsupervised learning, and reinforcement learning. Furthermore, it discusses popular data mining tools and presents case studies highlighting the impact of AI on fields like healthcare, finance, and retail. The review concludes by identifying emerging trends, challenges, and future research directions in AI-driven data mining. The review details the strengths and weaknesses of key algorithms such as supervised learning, unsupervised learning, and reinforcement learning. Furthermore, it discusses popular data mining tools and presents case studies highlighting the impact of AI on fields like healthcare