FUNDAMENTALS OF COMPUTER

Detailed explanation-1: -Customer Profiling − Data mining helps determine what kind of people buy what kind of products. Identifying Customer Requirements − Data mining helps in identifying the best products for different customers. It uses prediction to find the factors that may attract new customers.

Detailed explanation-2: -Clustering helps businesses manage their data more effectively. For example, retailers can use clustering models to determine which customers buy particular products, on which days, and with what frequency.

Detailed explanation-3: -Data mining is most commonly defined as the process of using computers and automation to search large sets of data for patterns and trends, turning those findings into business insights and predictions.

Detailed explanation-4: -Market basket analysis is a data mining technique used by retailers to increase sales by better understanding customer purchasing patterns. It involves analyzing large data sets, such as purchase history, to reveal product groupings, as well as products that are likely to be purchased together.

Detailed explanation-5: -Data Mining Defined In a multistep, iterative process, data mining produces models that automatically look for patterns and relationships within large data sets, then use that information to describe relationships within the data or predict future trends.