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DATA WAREHOUSING FUNDAMENTALS: A Comprehensive Guide for IT Professionals
book

DATA WAREHOUSING FUNDAMENTALS: A Comprehensive Guide for IT Professionals

by Paulraj Ponniah
September 2001
Beginner
544 pages
17h 43m
English
Wiley-Interscience
Content preview from DATA WAREHOUSING FUNDAMENTALS: A Comprehensive Guide for IT Professionals

17.6. REVIEW QUESTIONS

  1. Give three broad reasons why you think data mining is being used in today's businesses.

  2. Define data mining in two or three sentences.

  3. Name the major phases of a data mining operation. Out of these phases, pick two and describe the types of activities in these two phases.

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

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

  6. Briefly describe the cluster detection technique.

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

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

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

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

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Publisher Resources

ISBN: 9780471412540Purchase book