Data Mining VS Visualization

Santiago González Tortosa<sgonzalez@fi.upm.es>

Data Mining VS

Visualization

I. Data Mining VS VisualizationII. Visualize to DMIII.DM to Visualize (to DM)IV.Real world work:

I. Global Behavior Modeling: A New approach to Grid autonomic management

Contents

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• Data Mining – Knowledge discovery and extration– Not always is easy to see patterns,

distributions, etc.

• Visualization– Represents data (2D, 3D, Virtual Reality,…)– Helps to extract patterns– Not always is easy to represent data in 2

or 3 dimensions

Data Mining VS Visualization

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• Visualization help us to extract any pattern in the data

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Visualize to DM

• Visualization help us to extract any pattern in the data

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Visualize to DM

• Data contains N (> 3) features– Curse of Dimensionality

• We want to visualize all data• Dimensionality Reduction

– Reduce number of features– Transform and create new features

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DM to Visualize

• Dimensionality Reduction– L.J.P. van der Maaten, E.O. Postma, and H.J. van

den Herik. Dimensionality Reduction: A Comparative Review. Tilburg University Technical Report, TiCC-TR 2009-005, 2009

• Convex techniques: optimize an objective function that does not contain any local optima

• Nonconvex techniques: optimize objective functions that do contain local optima

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DM to Visualize

• Optimization techniques (hill climbing, evolutive, etc.)

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DM to Visualize

• Optimization techniques– One objective– One objective with constraints (Semi-

Supervised and labeling)– Multiobjective

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DM to Visualize

• Example: Optimize axis

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DM to Visualize

• Dimensionality Reduction in 2 phases:– FSS: Feature Subset Selection (wrapper,

needed CLASS!)– Transformation and creation of new features

(f.e. PCA)

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DM to Visualize

• Example of Dimensionality Reduction in 2 phases– User expert interacts

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DM to Visualize

• DM to Visualize….to DM!!• The idea is to obtain new knowledge or

patterns viewing the data.– Supervised info: data with the same class are

represented in the same area (KNN).– Unsupervised info: data is agrouped

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DM to Visualize

• Example that some data is agrouped

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DM to Visualize

• Visualization– 2D and 3D visualization– Virtual Reality

• Inmersion• Interaction• Imagination

– Augmented Reality

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DM to Visualize

Global Behavior Modeling: A New approach to Grid

autonomic management

Jesus Montes <jmontes@fi.upm.es>

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Real world work

Santiago González Tortosa<sgonzalez@fi.upm.es>

Data Mining VS

Visualization