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Transcript
Visualization in
Data Mining
Annie POSTIC - SAS France
Product Manager for Analysis and Quality
Presentation Overview
þ
Introduction
ý
ý
þ
Visualization in Data Mining
ý
þ
Overview of SAS/SPECTRAVIEW
Demonstration : Visualization Examples
ý
ý
þ
What's Data Mining
Application areas
Business and financial applications
Scientific Applications
Conclusion
S
What's Data Mining
þ
Advanced methods of exploring and
modeling relationships in large
amounts of data
þ
META group :
ý
ý
ý
1994 : market reached $50 million
1997 : market to increase to $300
million
2000 : market growing to $800
million
S
Data Mining :
Gartner Group point of view
DECISION TREES
Population
100%
< 30 years
10%
Own
40%
Rent
60%
30 - 45 years
30%
> 45 years
60%
S
Application Areas
þ
þ
þ
þ
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þ
þ
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Target Marketing
Customer satisfaction analysis
Credit approval
Fraud detection
Risk Analysis
Price analysis
Market basket/affinity analysis
Campaign management
Sales forecasting
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Application Areas
þ
þ
þ
þ
þ
Environmental Sciences
Oil Exploration
Medical Imaging
Pharmaceutical Studies
... and many more
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Visualization in Data Mining
Visualization
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Overview of SAS/SPECTRAVIEW
Enterprise Data
Data Warehouse
Data
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Overview of SAS/SPECTRAVIEW
Enterprise Data
Data Warehouse
Data
Exploration
Visualization
SPECTRAVIEW
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Overview of SAS/SPECTRAVIEW
Enterprise Data
Exploration
Confirmation
Data Warehouse
Visualization
Presentation
Data
SPECTRAVIEW
SAS System Tools
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Overview of SAS/SPECTRAVIEW
Interactive Data Visualization
Business and Scientific Applications
0.01
36.00
0.00
2.00
33.00
0.00
2.00
0.01
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Overview of SAS/SPECTRAVIEW
þ
þ
þ
þ
Interactive Data Visualization Tool
ý Point-n-click mouse driven interface
View, Explore & Analyze Data
ý View data in 4 dimensions
Explore Large and Small Data Sets
ý Few observations up to quarter
million +
Spot Patterns and Trends
ý Color code data
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Overview of SAS/SPECTRAVIEW
þ
þ
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New Features in version 6.12
ý Read character data as axis values
ý Categorize axis values
ý Compute min, max, mean, sum etc.
ý 3D Probe
ý Interactive text
Easier to Use
Easier to Load Data
Ability to Visualize Business Data
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Demonstration
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Business Example
Sales Performance
Visualize:
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þ
þ
þ
Sales volume
Region
Vehicle Type
Month
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Business Example
Demographic Data
Visualize:
þ
þ
þ
þ
þ
Population totals
Age Category
Income Category
Year
BY Census Tract
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Financial Example
Stock Performance
Visualize:
þ
þ
þ
PERCENTAGE CHANGE
Company
Category (High, Low,
Open, Last)
þ
Day of Month
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Business Example
Environmental Data
Visualize:
þ Sulfate
concentration
þ Longitude
þ Latitude
þ Elevation
þ BY Hour
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Business Example
Environmental Data
SUGI 21
Visualize:
þ Sulfate
concentration
þ Longitude
þ Latitude
þ Elevation
þ BY Hour
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Formal Demonstrations
þ
þ
Wednesday : 12:30 - 14:30
Thursday : 16:00 - 17:00
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Scientific and Business Benefits
þ
þ
þ
þ
þ
Better understand your data
Spot trends and patterns in your data
Explore all data observations
Discover new relationships
Save time analyzing your data
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Questions
?
?
?
?
?
?
?
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Thank you for
your attention
The SAS® System for successful decision making