Topic Presentation Guidelines

• Everyone is expected to read the paper to be presented.
• Presentation duration: 25 minutes with 10 minutes for discussion. Two basic questions with solutions suitable for quiz.
• Each presenter will make the slides available one week in advance by sending the instructor the URL of the slides so students can read the slides before the presentation. The slides file will be uploaded to the course web site after the presentation as its final version for grading.
• The slides can be in powerpoint, html, ps, or pdf.
• Presenters will conduct discussion (three problems worthy discussing) and answer questions.
• A hard copy of the presentation should be submitted the instructor before the presentation begins with the three problems  and two questions with answers. (they can be written in text).
• Late penalty (1-2% per day) applies (the deadline is one week before the specified date).

Topic Presentation Schedule

1. The slides can be accessed by clicking on the presenter.
2. Please include the key reference(s) in your slides. (Most papers can be found or will be added to our Readings list. ) The two recommended books contain most of  (definitely not all) the mateerials we will cover in class.
3. Although we try to adhere to the schedule, the schedule is tentative and is a rough estimate. Some postponement may be expected based on the progress of the class.

 

Topic (Classification)	Presenter	Date
Tree Prunning (Quinlan86)	Joshua Ryan	1/29
1R and Rule Induction from Tree  (Quinlan87)	Chris Mayer	1/29
Rule Extraction from NN (Lu et al 95)	Amit Shanbhag	2/12
MetaCost (Domingos99)	Deepak Kolipakkam	2/7

Topic (Evaluation)	Presenter	Date
Lim et al 99	Krishnakuma Govindarajan	2/12

Topic (Clustering)	Presenter	Date
DBSCAN	Ashutosh Tiwari	2/21
BIRCH	Vikaram Vasanthakumar	2/19
STING	Kanav Kahol	2/21
Co-Train (Blum-Mitchell98)	Amit Mandvikar	2/28

Topic (Association)	Presenter	Date
Parallel AR Mining	Namita Jain	3/26
Multi-Level AR	Bob Leaman	3/5
AR w/o Frequent Itemsets	Qiang Li	3/5

Topic (Data Preparation)	Presenter	Date
Feature Selection	Prasanna Velamurulakshmi	3/28
Sampling	Catherine Wen	3/28

Topic (Data Warehousing)	Presenter	Date
Data Modeling for  Data Warehouse	Raj Govindarajan	4/2
OLAP Implementation	Wei He	4/2
Data Integration	Yang Yang	4/4

Topic (Web Data)	Presenter	Date
XML and Query	Shilpi Ahuja	4/4

Topic (Web Mining)	Presenter	Date
Brin-Page98	Neelakandan Nagarajan	4/9
Kosala-Blockeel00	Devesh Sinha	4/9