Neural networks and genetic algorithms

1. Define data mining in two or three sentences.

2. Name the major phases of a data mining operation. Of these phases, pick two and describe the types of activities in them.

3. How is data mining different from OLAP? Explain briefly.

1. Is the data warehouse a prerequisite for data mining? Does the data warehouse help data mining? If so, in what ways?

2. Briefly describe the cluster detection technique.

3. How does the memory-based reasoning (MBR) technique work? What is the underlying principle?

1. Name the three common applications of the link analysis technique.

2. Do neural networks and genetic algorithms have anything in common? Point out a few differences.

3. What is market basket analysis? Give two examples of this application in business.

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