Assignment5 Topics

1. Assignment5 Topics • A Survey on Recent OLAP/Data Warehousing Tools RevanthAnireddy and DeepthiManthaDec. 1 • A Survey on Graph Mining Tools and Algorithms Xi Zhu and Meenakshi Sharma  • Uses of Data Mining in Bio-Informatics Rohith Kumar Kodakandla and Rajesh Reddy Konatham • The PAGERANK Algorithm and its Successors (SubramanyaChaitanya and KandalaKaavyaKaranam) & (Charlotte Lloren, Ruchika Bhatia, and Ricardo Mauricio) • A Survey on Ensemble Methods for Prediction and/or Classification Dat Chu, Yen Le, and Emil Ismailov • A Survey on non-Apriori-style Association Rule Mining Algorithms KarthikVangala and SayanBardhan • A Survey on Spatial Measures of Interestingness and Tools to Use themAnurag Nagar and Mustafa Sherazi • Using Data Mining for Analyzing Satellite Images of Earth Sara Chaarawi and WaleedFaris

2. Assignment5 Details • The project is a group project; take advantage of your increased man-power and subdivide work between group members intelligently. • Groups submit a 9-11 (12-14; for groups with 3 students) page (single-spaced) report and give a 10 (15) minute presentation on December 1 (one or two), or December 3, 2009. • Most Topics require a web search; include a summary of the most recent development in the field of your investigation in your report and presentation. • Each group should meet Dr. Eick once during his office hour either in the Nov. 9 or Nov. 16 week. • The report should follow the “traditional” organization: Introduction-…(Main_Part)-Summary-References • Each group member is expected to participate in the group’s presentation. • Presentations are uploaded at 9:55a on Dec 1/3!

3. Assignment5 Schedule of Presentations 9:55a: Upload Transparencies; please, don’t be late!! • A Survey on Recent OLAP/Data Warehousing Tools RevanthAnireddy and DeepthiManthaDec. 1, 10:10a • A Survey on Graph Mining Tools and Algorithms Xi Zhu and Meenakshi Sharma  Dec. 3, 10:10a • Uses of Data Mining in Bio-Informatics Rohith Kumar Kodakandla and Rajesh Reddy KonathamDec. 3, 10:20a • The PAGERANK Algorithm and its Successors (SubramanyaChaitanya and KandalaKaavyaKaranamDec. 3, 10:30a) & (Charlotte Lloren, Ruchika Bhatia, and Ricardo Mauricio Dec. 1, 10:20a) • A Survey on Ensemble Methods for Prediction and/or Classification Dat Chu, Yen Le, and Emil IsmailovDec. 3, 10:45a • A Survey on non-Apriori-style Association Rule Mining Algorithms KarthikVangala and SayanBardhanDec. 3, 11:00a • A Survey on Spatial Measures of Interestingness and Tools to Use themAnurag Nagar and Mustafa SheraziDec. 3, 11:15a • Using Data Mining for Analyzing Satellite Images of the Earth Sara Chaarawi and WaleedFarisDec. 3, 11:25a

4. Thoughts on Presentations • speak loudly and freely --- do not read! • make a plan for your presentation. • Give a brief overview of your presentation at the beginning • Introduce the topic of your presentation clearly. • In general, a presentation consists of: introduction, main-part, conclusion. • Finish your presentation with a conclusion that summarizes your results/findingsneverskip the conclusion.

5. Thoughts on Presentations2 • Establish goals for your presentation --- what is / are the message / messages of your presentation? • Prepare the presentation taking the viewpoint of a person that will listen to your presentation. • Make a "proud presentation" --- if you aren't, pretend to be proud. • Interact with the audience; keep the audience awake (make a joke, • Tell a story, challenge / tease / reward / punish / surprise the audience, use funny examples, ask questions. • Try to refer to previous presentations. • Establish contexts and context shifts clearly. • Don't get lost in technical detailsunless they are important for the message of your talk.

6. Presentations Part3 • If you get completely lost in your presentation --- take a deap breath pause for a 20 seconds, and continue (?!?). • Use transparencies and/or the blackboard. • Do not write too much on a transparency (about 5-12 lines; • does not apply to examples). Use large fonts. • Use Large Fonts! Use Color!! • Unreadable transparencies are unacceptable! Don't put unrelated things on the same transparency! • Use examples; general descriptions of algorithms or concepts are very hard to understand. • A picture is worth more than 1000 words!! • Answer questions politely! You need not to answer questions immediately. Don't let questions mess up your presentation. You are allowed to postpone answering questions.

7. Presentation Part4 • Important things should be said more than once. • Take your time --- do not hurry through your presentation (unless near the end). • Make a schedule for your presentation; check the schedule during your presentation. Subdivide your presentation into mandatory parts and optional parts (parts that can be skipped if you run out of time). • Practice your presentation --- entertain your cat / grandmother / • Don't stand in front whatever you present. • Keep eye-contact with the audience! Try to read the audience reaction to what you are presenting and use this know for the remainder/next presentation. • Smile from time to time --- this is not a funeral! • Be emotional in the sense that the audience feels that you identifyyourself with the contents of your presentation --- you have something important to tell! Try to convice the audience! • Try to entertain!