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1. Discussion (Chapter 4): What are the privacy issues with data mining? Do you think they are substantiated? 
2. Define data mining. Why are there many names and definitions for data mining? 
3. What are the main reasons for the recent popularity of data mining? 
4. Discuss what an organization should consider before making a decision to purchase data mining software. 
5. Distinguish data mining from other analytical tools and techniques. 
6. Discuss the main data mining methods. What are the fundamental differences among them 
Exercise:  Visit teradatauniversitynetwork.com. Identify case studies and white papers about data mining. Describe recent developments in the field of data mining and predictive modeling. 

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