In predictive models, the values or classes to be predicted are called the:

You are a credit risk manager of a retail bank. Some information about customers are available to analytics. Based on this data you have to decide that a person will be a good or bad customer. Choose the appropriate data mining task for this business problems.

Data items grouped into relationships and preferences are known as:

What are decision trees?

Which are popular data mining methods?

True of False? Loose coupling data mining architecture is mainly for memory-based data mining systems that does not require high scalability and high performance.

What is the advantage of the k-Medoids Clustering Algorithm over the k-Means Clustering (Lloyd's) Algorithm?

Which decision tree method performs multi-level splits when computing classification trees?

Which of the following is part of a retail customer data mining strategy?

Hash based technique, Transaction Reduction, Portioning, Sampling, and Dynamic Item Counting are all examples of what?

The measured differences between a model and its predictions are known as: