1. Final Project and Term Paper Requirements Qiang Yang, MTM521 Material

2. The Project Proposal Should involve the whole data mining process  Objective definition and scoping  Data collection process  Data preprocessing and cleaning process  Data mining process  Evaluation process  Reporting and Interpretation process  Final analysis of the issues discovered in the data mining process

3. Proposal Stage Proposal should be short and concise Should specify the objectives Should specify the potential issues and difficulties Should scope out the data format and questions/features in the data Should list the queries to be answered* Should list the type of knowledge to be discovered Should list the candidate data mining techniques chosen Should allocate tasks to each person in the team Should have a work schedule Due at the end of the first Sunday afternoon (2-3pm), with a short presentation

4. Final Report Due (June 10, 5pm) by email. Should include a discussion of each stage in data mining process  The anticipated result and the final result  The expected issues and the final issues  The technical results and the lessons learned  Should involve each of the main data mining functions Data cleaning and reduction Classification by at least two methods Association analysis of the data Clustering analysis of the data  A (revised) data mining process according to your experience Important: discuss what you can learn from the data mining results, with which rudimentary data analysis cannot provide you.