If you wish, you may do a bonus paper. The bonus will be added to the total of one of your presentations.

The paper should focus on a narrow part of data mining. You should meaningfully incorporate at least five papers; ten papers would be better.

Submit your paper in hard copy. Include hard copies of the papers that you have used.

Possible topics include:

- Autonomously setting thresholds for association rules.
- Computationally comparing binning strategies for quantitative values
for association rules.
- Data mining data sets containing ordinal values. (Ordinal values are
non-scalar values that can be ordered; but do not have a Euclidian distance
measure; e.g., academic grades: A, B, C, D, F
- Data mining data sets containing qualitative values. (Qualitative values
are non-scalar values not on an ordinal scale.)
- Identifying causality/non-causality in large data sets by means other
than directed graphs (DAGs).
- You may suggest other topics. Keep in mind that the topic should be as narrow as possible.