What Are the Most Important Data Mining Concepts?
The most important data mining concepts are used for the analysis of collected information, most notably in the effort to observe a behavior. Unknown interactions between data are researched in a variety of ways to ascertain critical relationships between subjects and aggregated information. One challenge in data mining is that the actual information collected may not be reminiscent of the whole domain. In an effort to address this fact, correlations between the data can be methodically controlled by the various data mining concepts.