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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.
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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 Pay no attention to the man behind the curtain. -Wizard of Oz
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
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
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