Data Mining: Uncovering Insights from Big Data

Data mining is the process of discovering patterns and extracting useful information from large datasets. It involves analyzing data from different perspectives, summarizing it into meaningful information, and identifying correlations or relationships that can be used to make decisions or predictions. Data mining techniques include clustering, classification, regression, association rule mining, and anomaly detection. The goal of data mining is to uncover hidden patterns and insights that can help businesses make better decisions, improve operations, and gain a competitive advantage.