Which of the following cannot be achieved using data mining software?

• A. Creating correlations among attributes of a data set
• B. Predicting outcomes
• C. Clustering
• D. Data visualization

Answer: (A)

Data mining software is designed to uncover patterns and relationships in data and present results clearly. It can quantify relationships between attributes, so you can identify correlations among variables. It can build predictive models to forecast outcomes based on historical data, using methods like regression or classification. It can discover natural groupings in data through clustering, helping you segment data into meaningful clusters. It can also generate visual representations—scatter plots, heatmaps, cluster diagrams—that make patterns and model results easy to interpret. Because these capabilities are all part of what data mining tools typically offer, all of the listed tasks can be achieved. If a test item implies one cannot be done, it would reflect a miswording, since data mining covers these core functions.