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Unit 10: Data Mining Tools and Techniques
Text Mining: Text mining is the process of using computer technology to sift through text Notes
documents for the purposes of research and analysis.
Web Mining: Web mining is a form of information harvesting that applies to data gathered from
online sources.
10.7 Review Questions
1. Explain different data mining tools available in the market.
2. Discuss the advantages and disadvantages of dashboard.
3. Make distinction between data mining classical techniques and next generation techniques.
4. Explain the concept of the Nearest Neighbor technique with example.
5. Describe how to use Nearest Neighbor for Prediction.
6. Discuss the use of clustering technique with example.
7. Explain the use of decision tree with example.
8. Illustrate the use of decision trees for Data Preprocessing.
9. Discuss the significant steps required for preprocessing the data that goes into a neural
network.
10. Illustrate the concept of web mining with example.
Answers: Self Assessment
1. Tools 2. Dashboard
3. Text mining 4. Forensic analysis
5. Statistics 6. Nearest neighbor method
7. Clustering 8. Decision tree
9. Neural networks 10. Rule induction
11. True 12. False
13. Web mining 14. Web-based
15. Structure mining
10.8 Further Readings
Books Daniel Power, 2002, Decision Support Systems: Concepts and Resources for Managers,
Greenwood Publishing Group
Efraim Turban, 1995, Decision Support and Expert Systems: Management Support
Systems, Prentice Hall
Harry Katzan, 1984, Management Support Systems, Van Nostrand Reinhold
Company
K. Sarukesi, 2004, Decision Support Systems, PHI Learning Pvt. Ltd.
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