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Assignment5 Details

Assignment5 Details. The project is a group project; take advantage of your increased man-power and subdivide work between group members intelligently. Group Sizes are 3 or 4 (preferred); 2 is also okay; 5 is not acceptable

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Assignment5 Details

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  1. Assignment5 Details • The project is a group project; take advantage of your increased man-power and subdivide work between group members intelligently. • Group Sizes are 3 or 4 (preferred); 2 is also okay; 5 is not acceptable • Groups submit a 9-11 (12-14; for groups with 4 students) page (single-spaced) report and give a 9 (12) minute presentation on November 30 (one or two), or December 2, 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 in the Nov. 8 or Nov. 15 week; each groups sends a 1-page project description no later than Nov. 16 to Dr. Eick. • The report should follow the “traditional” organization: Introduction-…(Main_Part)-Summary-References • Each group member is expected to participate in the group’s presentation.

  2. 2010 Assignment5 Topics • Comparing Support Vector Machines and k-NN for Classification Tasks • A Survey on Sequence Mining Algorithms • A Survey on Association Rule Mining Tools • A Survey on Ensemble Methods and Tools for Prediction • The Netflix ContestWhat Algorithms Were Successful and What, In General, did we learnt from the Contest? • Uses of Data Mining to Monitor and Protect the Environment • Mining TrajectoriesA Survey

  3. 2010 Assignment5 Topics Continued • Privacy Preserving Data MiningA Survey • Application of Data Mining to Crime Analysis and Prevention • Mining Social NetworksA Survey • Popular Algorithms for Mining Steaming Data • KDD Cup 2010: What was Used, What Worked Well and Lessons Learns (https://pslcdatashop.web.cmu.edu/KDDCup/results_full.jsp ) • Survey: High Performance Data Mining: Challenges and Solutions • Recent Developments in Decision Tree Learning Tools • Comparison: How is Data Mining Taught at Different Universities in the US?

  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!

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