1 / 10

“Data Mining on a Mushroom Database”

“Data Mining on a Mushroom Database”. Clara Eusebi, Cosmin Gilga, Deepa John, Andre Maisonave. Presentation Summary. Background Concepts Literature Review Focus of Study Research Methodology Results of Study Mushroom Database Application Future Research Conclusions. Background.

meryl
Download Presentation

“Data Mining on a Mushroom Database”

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. “Data Mining on a Mushroom Database” Clara Eusebi, Cosmin Gilga, Deepa John, Andre Maisonave

  2. Presentation Summary • Background Concepts • Literature Review • Focus of Study • Research Methodology • Results of Study • Mushroom Database Application • Future Research • Conclusions

  3. Background • Algorithms and Techniques • Jeff Schlimmer’s Dissertation • Confusion Matrix

  4. Literature Review • Overview of Data Mining • Decision Trees • Visual Classification and Human-Machine Interaction

  5. Focus of the Study • Run algorithms in Weka on the Mushroom Database • Mushroom Database Application • Edible or Poisonous?

  6. Research Methodology • Unpruned decision tree • Classifiers that do not generate rules • A classifier that does generate rules • Jeff Schlimmer’s optimal rule set

  7. Results of the Study • Results on client databases • much higher accuracy • Results on Schlimmer’s database • Elaborate unpruned tree

  8. Mushroom Database Application • Available at: http://utopia.csis.pace.edu/cs691/2007-2008/team6/Mushroom_Database_Application.html

  9. Future Research • Differences between Dr. Cha’s data and Schlimmer’s data

  10. Conclusions • J48 Unpruned Tree • Highest accuracy results • Mushroom Database Application • Human-Machine Interaction

More Related