What is case-based learning? A.

A class of learning algorithm that tries to find an optimum classification of a set of example using the probabilistic theory.

B. Any mechanism employed by a learning system to constrain the search space of a hypothesis.

C. An approach to the design of learning algorithms that is inspired by the fact that when people encounter new situations, they often explain them by reference to familiar experiences, adapting the explanations to fit the new situation.

D. None of the above.

3. What is classification? A.

A subdivision of a set of examples into a number of classes.

B. A group of similar objects that differ significantly from other objects.

C. A measure of the accuracy, of the classification of a concept that is given by a certain theory.

D. The task of assigning a classification to a set of examples.

4. What is cluster? A.

A subdivision of a set of examples into a number of classes.

B. A group of similar objects that differ significantly from other objects.

C. Symbolic representation of acts or ideas from which information can potentially be extracted.

D. Operations on a database to transform or simplify data in order to prepare it for a machinelearning algorithm.

5. What is Machine learning?

A. An algorithm that cam learn.

B. A sub-discipline of computer science that deals with the design and implementation of learning algorithms.

C. An approach that abstracts from the actual strategy of an individual algorithm and can therefore be applied to any other form of machine learning.

D. None of the above.

6. Understanding customers better has helped Amazon and other companies become more successful. These understanding comes primarily from

A. Collecting data about customers and transactions.

B. Asking the customers what they want.

C. Analyzing the vast data amounts routinely collected.

D. Developing a philosophy that is data analytics-centric.

7. The data field "ethnic group" can be best described as

A. Ordinal data.

B. Ratio data.

C. Interval data.

D. Nominal data.

8. The data field "salary" can be best described as

A. Ratio data

. B. Nominal data.

C. Ordinal data.

D. Interval data.

9. Identifying and preventing incorrect claim payments and fraudulent activities falls under which type of data mining applications?

A. retailing and logistics

B. insurance

C. computer hardware and software

D. customer relationship management

10. The data mining algorithm type used for classification somewhat resembling the biological neural networks in the human brain is

A. Decision trees.

B. Artificial neural networks.

C. Association rule mining.

D. Cluster analysis.