Data mining looks for useful patterns in large datasets. It connects database knowledge with statistics and machine-learning methods to discover relationships that can support decisions. The practical value of data mining becomes clearer when you use it to solve an actual problem instead of studying definitions alone. This point is specifically relevant to the data mining aspect of MCA study. For this specific question about data mining, the practical takeaway is to relate the concept to your own MCA learning goal.