All Questions are from book
Sharda R., Delen D., & Turban, E. (2019). Analytics, data science, & artificial intelligence: systems for decision support (11th ed.). Pearson
Each answer should be within 50-75 words. And Plagiarism free. I will require it within next three hours.
Chapter 4 – discussion question #1-5 & exercise 1
Discussion Question #1
Define data mining. Why are there many names and definitions for data mining?
Discussion Question #2
What are the main reasons for the recent popularity of data mining?
Discussion Question #3
Discuss what an organization should consider before making a decision to purchase data mining software.
Discussion Question #4
Distinguish data mining from other analytical tools and techniques.
Discussion Question #5
Discuss the main data mining methods. What are the fundamental differences among them?
Visit teradatauniversitynetwork.com. Identify case studies and white papers about data mining. Describe recent developments in the field of data mining and predictive modeling.