Data Mining Methods and Obstacles: A Comprehensive Analysis

Abstract

An in-depth analysis of the challenges and developments in the data mining industry is the aim of the study. To locate and assess relevant information on data mining approaches and difficulties, this study combines guided literature searches with real-world case studies. The research design includes information on the search terms, data sets, and selection standards for choosing which articles should be included and which should be omitted. Also, the study includes data extraction, outcomes interpretation, and paper quality assessment. The research focuses on data mining detection techniques and commercial challenges. The various data mining methods are discussed along with the challenges they face. Results from surveys, books, articles, published papers, finished projects, and reviews of earlier research are included in this analysis. According to the study's findings, data mining is a difficult occupation that is perpetually in need of advancement and creativity.