Data mining is an automated process of extracting meaningful patterns and useful knowledge from large sets of data. It is used in the field of artificial intelligence and machine learning to discover hidden relationships and trends in data that can be used to make informed decisions and improve performance in various areas, such as business decision making, outcome prediction, risk analysis, customer segmentation, product recommendation, among others.
The data mining process involves the use of data analysis techniques and algorithms, such as regression, classification, clustering, association and sequence mining, among others. These techniques enable the identification of patterns in data that can be used to make informed decisions and improve performance in various areas.
Reference: From Data Mining to Knowledge Discovery in Databases, Fayyad, U. and Piatetsky-Shapiro
The world is experiencing exponential growth in data generation on an ever-increasing scale. According to IDC (International Data Corp.
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