Fall 2007

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Assignments

• Grades are available here. Grade breakpoints are 710 (C), 780 (C+), 808 (B-), 839 (B), 876 (B+), 900 (A-), 924 (A), 962 (A+). The Class ID was sent to you by email on Oct 2.
• To complete the assignments you will need the full (unlocked) XLMiner software - see the syllabus or installation instructions here. If you get a message saying "#rows in the data set cannot exceed maximum allowed 600 rows" when trying the first assignment then you have not unlocked the software correctly.
• Introduction to data mining: assignment 1 (deadline Mon 10/1).
• Data mining methodology, best practices, and multiple linear regression: assignment 2 (deadline Mon 10/8).
• Data mining applications in marketing and CRM, and subset selection: assignment 3 (deadline Mon 10/15)
• Decision trees: assignment 4 (deadline Mon 10/22).
• Statistics - data mining using familiar tools, and logistic regression: assignment 5 (deadline Mon 10/29)
• Articifial neural networks: assignment 6 (deadline Mon 11/5).
• Nearest neighbors: assignment 7 (deadline Mon 11/12).
• Association rules: assignment 8 (deadline Mon 11/19).
• Automatic Cluster Detection: assignment 9 (deadline Wed 11/28).
  • There appears to be an XLMiner bug with Excel 2007 (not Excel 2003) that prevents the dendogram from being drawn in hierarchical clustering. If using Excel 2007, to answer question 2 you will need this file, which shows what the dendogram output should look like.
• 433 and 533: first (written) project (deadline 10am Mon exam week) - current details on groups and selected datasets are available here.
• Written project template.
• 533 only: second (presentation) project (deadline Mon 11/26) - current details on groups and selected topics are available here.

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