Description

1. A datamining application implementation: In this project you will implement a datamining application of your choice using a classfication rule mining such as a decision tree (ID3), an association rule mining such as apriori algorithm, clustering, or others. Your presentation should consist of four parts.
   1. 1st part: main goal of your application application of your own choice.
   2. 2nd part: Input - define the schema for your application and enter sample (at least 100) data.
   3. 3rd part: Output and algorithm used - Run the data using either decision tree or apriori algorithm.
   4. 4th part: discussion and state any extensions you could have done should more time and resources were available.
   10~15 minute Powerpoint slide should be submitted and presented at the end of semester.
   

2. Literature Review: You will choose three papers from the datamining research community. You will not only summarize and review each paper, but also will compare and contrast each paper with the others. Thus, the collection of papers must address a common theme, so that they can be adequately compared. If you are having difficulty choosing a set of papers, I will work with you to define a theme and select the papers. If your background is other fields, you may include up to two papers addressing your fields, but you must still relate these papers to the remaining paper. You must submit a written 5 page report at the end of the semester.

2005 year students' group projects

2004 year students' sample projects