1 / 5

Data Mining Front Side

Data Mining Front Side. Which molecules inhibit cancer?. Data. ACME DATA-MINO-MATIC. Segmen-tation. Regression. Cleaning. Evalua- tion. Classifi-cation. Potential drug molecules. Modified version of cartoon from Union of Concerned Scientists . Data Mining Backside.

denali
Download Presentation

Data Mining Front Side

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 Front Side Which molecules inhibit cancer? Data ACME DATA-MINO-MATIC Segmen-tation Regression Cleaning Evalua- tion Classifi-cation Potential drug molecules Modified version of cartoon from Union of Concerned Scientists

  2. Data Mining Backside Pay no attention to the man behind the curtain. -Wizard of Oz

  3. Strategies ? ? Data Data ACME DATA-MINO-MATIC ACME DATA-MINO-MATIC • Input/Output funnels are largely art • Capture and exploit meaning and context not just data – semantic web • Adapt goal centered versus algorithm centered approach

  4. Strategies ? Data ACME DATA-MINO-MATIC • Sub-boxes are scientific but narrow • Push more functionality in each box • Grow the theory • Move boxes closer to real world heterogeneous data, scalability, simplicity, sparseness, interpretability, interestingness

  5. Strategies ? ? Data Data ACME DATA-MINO-MATIC ACME DATA-MINO-MATIC • Funnels and levers not always published • Mundane details matter • Mine the mining • Identify best practices, problem strategies, and emerging methods via data mining applications website • Social tagging and ranking

More Related