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?

Exercise #1

Visit teradatauniversitynetwork.com. Identify case studies and white papers about data mining. Describe recent developments in the field of data mining and predictive modeling.