Page 169 - DCAP606_BUSINESS_INTELLIGENCE

Business Intelligence

Notes 11.11 Review Questions

1. What is data mining?
2. Define data, information and knowledge.

3. Explain the process of knowledge discovery.
4. What are the types of data mining tasks?
5. Discuss purpose of data mining.
6. Briefly explain the data mining approaches.
7. How you can use data mining in Pharmaceutical companies?

8. Elaborate the issues of data mining.
9. Describe the application of data mining.
10. What are the limitations of data mining?

11. Discuss in brief the data mining models.
12. What are data mining algorithms?

Answers: Self Assessment

1. Data mining 2. Data
3. Information 4. Knowledge
5. Data cleaning 6. Prediction

7. True 8. True
9. True 10. Data mining
11. Market segmentation 12. Network models
13. Association models 14. Data mining algorithm

15. Association algorithms
11.12 Further Readings

Books Carlo Vercellis (2011). “Business Intelligence: Data Mining and Optimization for Decision
Making”. John Wiley & Sons.
David Loshin (2012). “Business Intelligence: The Savvy Manager’s Guide”. Newnes.

Elizabeth Vitt, Michael Luckevich, Stacia Misner (2010). “Business Intelligence”.
O’Reilly Media, Inc.
Rajiv Sabhrwal, Irma Becerra-Fernandez (2010). “Business Intelligence”. John
Wiley & Sons.
Swain Scheps (2013). “Business Intelligence for Dummies”. Wiley.

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