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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
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
Data Mining Backside

Pay no attention to the man behind the curtain.

-Wizard of Oz


Strategies
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


Strategies1
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


Strategies2
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