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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 þ þ þ þ þ Target Marketing Customer satisfaction analysis Credit approval Fraud detection Risk Analysis Price analysis Market basket/affinity analysis Campaign management Sales forecasting S Application Areas þ þ þ þ þ Environmental Sciences Oil Exploration Medical Imaging Pharmaceutical Studies ... and many more S Visualization in Data Mining Visualization S Overview of SAS/SPECTRAVIEW Enterprise Data Data Warehouse Data S Overview of SAS/SPECTRAVIEW Enterprise Data Data Warehouse Data Exploration Visualization SPECTRAVIEW S Overview of SAS/SPECTRAVIEW Enterprise Data Exploration Confirmation Data Warehouse Visualization Presentation Data SPECTRAVIEW SAS System Tools S 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 S 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 S Overview of SAS/SPECTRAVIEW þ þ þ þ 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 S Demonstration S Business Example Sales Performance Visualize: þ þ þ þ Sales volume Region Vehicle Type Month S Business Example Demographic Data Visualize: þ þ þ þ þ Population totals Age Category Income Category Year BY Census Tract S Financial Example Stock Performance Visualize: þ þ þ PERCENTAGE CHANGE Company Category (High, Low, Open, Last) þ Day of Month S Business Example Environmental Data Visualize: þ Sulfate concentration þ Longitude þ Latitude þ Elevation þ BY Hour S Business Example Environmental Data SUGI 21 Visualize: þ Sulfate concentration þ Longitude þ Latitude þ Elevation þ BY Hour S Formal Demonstrations þ þ Wednesday : 12:30 - 14:30 Thursday : 16:00 - 17:00 S 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 S Questions ? ? ? ? ? ? ? S Thank you for your attention The SAS® System for successful decision making