Data Mining
Data mining is a process of discovering patterns, correlations, and insights from large datasets using techniques from statistics, machine learning, and database systems. It involves extracting valuable information from raw data to support decision-making, predict trends, and identify anomalies. Common applications include market basket analysis, fraud detection, customer segmentation, and scientific discovery.
Developers should learn data mining techniques when working with large-scale data to uncover hidden patterns, improve business intelligence, or build predictive models. It is essential in fields like e-commerce for recommendation systems, finance for risk assessment, healthcare for disease prediction, and marketing for customer behavior analysis. Mastering these techniques enables data-driven decision-making and enhances the value extracted from data assets.