How Data Mining Works: Techniques, Benefits, and Key Differences with Data Analytics
Data mining is the practice of analyzing large datasets to identify meaningful patterns and relationships. It enables businesses to uncover hidden insights that may not be immediately apparent through traditional analysis. Unlike regular data analysis, which focuses on summarizing data, data mining uses algorithms to predict trends, detect anomalies, and guide decision-making. How Data Mining Works The process of how data mining works typically involves the following steps: Data Collection: Gathering structured and unstructured data from multiple sources such as databases, social media, and transactional systems. Data Cleaning and Preprocessing: Removing duplicates, handling missing values, and standardizing formats to ensure data quality. Data Transformation: Converting data into appropriate formats for analysis, including normalization or aggregation. Pattern Discovery: Using data mining techniques such as clustering, classification, regression, and association rule min...