The Next Generation of Transportation Systems, Greenhouse Emissions, and Data Mining

moderator: Hillol Kargupta, Computer Science and Electrical Engineering, University of Maryland, Baltimore County
published: Oct. 1, 2010,   recorded: July 2010,   views: 3970
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1. What are the key information processing challenges in the next generation of intelligent transportation systems? 2. What are the challenges in making transportation “greenâ€_-er and how data mining can help? 3. Why predictive vehicle health monitoring is important and why should data miners care? 4. What are the emerging business models for Green IT that data miners can benefit from? 5. How can data miners help vehicle manufacturers in building better and cleaner vehicles? 6. How can data miners help maintaining and monitoring vehicles after market? 7. What is the current status of the technology and what are the achievable return of investments for this market? 8. What are the projections for the next five years and what can data miners do to help? 9. What are the challenges against large-scale adoption of data mining-based decision support tools for clean vehicles and transportation systems? 10. How can policy makers and funding organizations help?

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Download slides icon Download slides: kdd2010_kargupta_panel_01.ppt (1.1 MB)


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