DATA MINING TECHNOLOGY BASED ON MACHINE LEARNING ALGORITHMS

DATA MINING TECHNOLOGY BASED ON MACHINE LEARNING ALGORITHMS

SHILTON RODRIGUES ( 1DS21MC099 )

Asst Prof. Dr.Chandrika Murali

Department of MCA, Dayananda Sagar College of Engineering, Bangalore, Karnataka, India

Abstract—[ Data mining technology, driven by machine learning algorithms, has emerged as a powerful approach for extracting valuable insights and patterns from large-scale datasets. This research paper provides an in-depth analysis of the advancements, challenges, and future directions in data mining technology based on machine learning algorithms. The paper explores key areas such as classification, clustering, association rule, mining, anomaly detection, feature selection, deep learning, privacy preservation, stream mining, transfer learning, and explainability. It discusses the significance of each area, highlights notable research contributions, and presents the challenges faced by researchers. Moreover, the paper outlines potential solutions to address these challenges and proposes future directions for advancing the field. By providing a comprehensive overview, this research paper aims to contribute to the understanding of data mining technology and its application in various domains.