REVISITING THE CONCEPTS AND TECHNIQUES OF DATA MINING

The functions of data, records, and intelligence in human existence are fascinating. Through the rapid advancement in technology, large data collections have necessitated the analysis and simulation of big data in order to forecast and interpret potential intelligence patterns. Methodologies and techniques used in different areas of information systems are needed for knowledge exploration in databases. Data mining is a form of knowledge exploration in which valuable data is extracted. Machine intelligence, artificial agent networks, and expert system decision-making have all advanced significantly. Researchers have surveyed much of the methods and applications utilised in various fields in our lives, such as construction, schooling, architecture, and industry, during the last decade. The approach used in this article is based on a study of the most common data mining strategies and patterns over the last five years in a variety of fields. It has been discovered in the learning area, such as the use of data mining for instructional practises, the enhancement of job efficiency in the manufacturing field, and the use of text mining as a tool in analysis databases, among other things.