- Why Data mining?
What type of data could be collected
How could this data benefit the business
What type of activity might indicate fraudulent use of a credit card
Sometimes the location of where a credit card is used suspicious. Why?
How might the business segment its customers
How could customer segmentation benefit your current or previous employer
- What is Data Mining?
Refer to this link: https://www.microstrategy.com/us/resources/introductory-guides/data-mining-explained#healthcare
Read the article “What is Data Mining?” Be sure to include the question as part of your answer document.
- The article discussed Customer Insights and Disney. How could Customer Insights be used on a cruise ship?
- b. Data veracity is crucial in data mining. Imagine a team of workers survey shoppers at large stores and malls about their shopping habits. How could a lack of data veracity result?
- c. K-Nearest Neighbor is a great data mining technique. How do you think Amazon uses K-Nearest Neighbor?
III. Ghost Map Analysis (doc attached)
An overview of the book “Ghost Map” was assigned in week #1 as reading material. The document concluded with a copy of the original map John Snow drew for his 1854 analysis of the Broad Street pump in London. The red circle indicates the location of the pump.
- Study the map and notice the black squares and black rectangles. Write a one paragraph analysis of Snow’s map. What did he demonstrate with his primitive data mining?