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Data Mining VS Visualization

Data Mining VS Visualization. Santiago González Tortosa <sgonzalez@fi.upm.es>. Contents. Data Mining VS Visualization Visualize to DM DM to Visualize ( to DM ) Real world work : Global Behavior Modeling : A New approach to Grid autonomic management.

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Data Mining VS Visualization

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  1. Data Mining VS Visualization Santiago González Tortosa <sgonzalez@fi.upm.es>

  2. Contents • Data Mining VS Visualization • Visualizeto DM • DM toVisualize (to DM) • Real worldwork: • Global BehaviorModeling: A New approachtoGridautonomicmanagement

  3. Data Mining VS Visualization • Data Mining • Knowledgediscovery and extration • Notalwaysiseasytoseepatterns, distributions, etc. • Visualization • Represents data (2D, 3D, Virtual Reality,…) • Helpstoextractpatterns • Notalwaysiseasytorepresent data in 2 or 3 dimensions

  4. Visualizeto DM • Visualizationhelpustoextractanypattern in the data

  5. Visualizeto DM • Visualizationhelpustoextractanypattern in the data

  6. DM toVisualize • Data contains N (> 3) features • Curse of Dimensionality • Wewanttovisualizeall data • DimensionalityReduction • Reduce number of features • Transform and create new features

  7. DM toVisualize • DimensionalityReduction • L.J.P. van der Maaten, E.O. Postma, and H.J. van den Herik. DimensionalityReduction: A ComparativeReview. TilburgUniversityTechnicalReport, TiCC-TR 2009-005, 2009 • Convextechniques: optimizeanobjective function that does not contain any local optima • Nonconvextechniques: optimizeobjective functions that do contain local optima

  8. DM toVisualize • Optimizationtechniques (hillclimbing, evolutive, etc.)

  9. DM toVisualize • Optimizationtechniques • Oneobjective • Oneobjectivewithconstraints (Semi-Supervisedand labeling) • Multiobjective

  10. DM toVisualize • Example: Optimize axis

  11. DM toVisualize • DimensionalityReduction in 2 phases: • FSS: FeatureSubsetSelection (wrapper, needed CLASS!) • Transformation and creation of new features (f.e. PCA)

  12. DM toVisualize • Example of DimensionalityReduction in 2 phases • Userexpertinteracts

  13. DM toVisualize • DM toVisualize….to DM!! • The idea istoobtain new knowledgeorpatternsviewingthe data. • Supervisedinfo: data withthesameclass are represented in thesamearea (KNN). • Unsupervisedinfo: data isagrouped

  14. DM toVisualize • Examplethatsome data isagrouped

  15. DM toVisualize • Visualization • 2D and 3D visualization • Virtual Reality • Inmersion • Interaction • Imagination • AugmentedReality

  16. Real worldwork Global BehaviorModeling: A New approachtoGridautonomicmanagement Jesus Montes <jmontes@fi.upm.es>

  17. Data Mining VS Visualization Santiago González Tortosa <sgonzalez@fi.upm.es>

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