PAPER PRESENTATION


Research papers of data mining in the follow categories will be presented for in-depth study (including the data mining aspects of Bioinformatics):
  1. Data and application security
  2. Data mining and privacy
  3. Streaming data extraction and mining
  4. Dealing with large data either row-wise or column-wise
  5. Overfitting data in classification (AdaBoost)
  6. Association rules (FP-trees, Efficient implementation)
  7. Mining structured data
  8. Clustering data in forms of scenarios
Where to start (to be revised):
How are presentations evaluated?

    Each presentation is evaluated in five categories: time control, organization, clarity, preparation, and discussion.

Notes:

PROJECT

        1. what you're going to do
        2. why it is a useful project
        3. how the project should be evaluated in your view
        4. what will be the values of your project when it's done

        The proposal is basically a rough outline of your project report.

        A good beginning is half the success.

    You can submit it earlier than the deadline.