CISC873 Final Exam 2011

The final exam will be available from the evening of December 1st and is due by Noon on Tuesday December 4th. Solutions are to be returned to my office, either physically or electronically (as a pdf document).

The answers to the exam can have a maximum length of 6 pages at 11pt or 7 pages at 12pt, including figures and references. As there won't be room to include everything you might want to say, you will have to be selective and to use references to anything that is standard, rather than including text about it.

The exam will be in the form of a data mining problem. I expect you to do a little actual mining, but what I'm mostly looking for is a coherent explanation of how you would attack the specified problem, and what you would expect to find at each stage. You might want to use data mining tools to validate your assumptions and to check that your reasoning does indeed seem to agree with the models you generate.

Above all, quality not quantity.

Please attach a page with the following content:

I certify that the submitted work was done by me without help from any other person.
and sign it.

The dataset has 300 rows and 200 attributes. Records from rows 235 to 270 are believed to be in one class; all of the other rows in the other class. Your ultimate goal is to produce a predictor for this data. There may be class mislabellings which should be take into account.

Dataset