Data mining approaches decision making with these different activities in mind:
A) Classification
B) Estimation
C) Affinity grouping
D) All of these choices are correct.

Question

Quizplus · Accepted Answer

All three activities (classification, estimation, affinity grouping) are important in data mining for decision making. Classification involves categorizing data into groups or classes based on certain criteria. Estimation involves predicting numerical or continuous values for specific variables based on statistical analyses of the available data. Affinity grouping involves identifying patterns or associations among different variables or groups of data, which can also provide useful insights for decision making. Therefore, all of these choices are correct when it comes to data mining approaches for decision making.

Data Mining Approaches Decision Making with These Different Activities in Mind