For this group assignment, students will need to select and analyze a dataset using a data mining method (classification or clustering), and then show how the results of such analysis can produce “actionable” insights, i.e., useful results that an organization can use to improve their operation, products, or services.
2. Retrieve data and perform necessary data cleaning and preparation in Excel or RapidMiner.
3. Use RapidMiner to mine data for useful insights using either a classification or clustering approach.
4. Prepare a final report that will describe the problem, data preparation stage, your approach
and results. As part of the report, discuss how your results can help the organization in
question to improve their operation, products, or services. The written project report (~10
pages) should be submitted electronically via D2L by one of the group members. The report
template is provided along with this file (“Group Project Report Outline.pdf”).