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Workshop Details
SSTDM: Workshop on Spatial and Spatiotemporal Data Mining
Organized by Shashi Shekar, Peggy Agouris, Ranga Raju Vatsavai, Bart Kuijpers, Nanni Mirco, Donato Malerba and Anthony Stefanidis
09:00 - 17:30
Room: Holbein
http://www.ornl.gov/sci/knowledgediscovery/sstdm-12
This workshop features three invited talks and ten peer-reviewed technical presentations covering latest advances in spatial and spatiotemporal data mining. We cordially invite all data miners to this exciting workshop.
| 09:00 - 09:10 | Welcome and Introduction Bart Kuijpers |
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09:00 - 09:10 | Welcome and Introduction Bart Kuijpers |
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09:00 - 09:10 | Welcome and Introduction | event_type == 4) {?>Welcome and Introduction | event_type == 5) {?>09:00 - 09:10 | Welcome and Introduction Bart Kuijpers |
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| 09:10 - 10:00 | Keynote Talk |
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09:10 - 10:00 | Keynote Talk |
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09:10 - 10:00 | Keynote Talk | event_type == 4) {?>Keynote Talk | event_type == 5) {?>09:10 - 10:00 | Keynote Talk |
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| 10:00 - 10:25 | Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents Corrado Loglisci, Dino Ienco, Mathieu Roche, Maguelonne Teisseire, and Donato Malerba |
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10:00 - 10:25 | Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents Corrado Loglisci, Dino Ienco, Mathieu Roche, Maguelonne Teisseire, and Donato Malerba |
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10:00 - 10:25 | Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents | event_type == 4) {?>Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents | event_type == 5) {?>10:00 - 10:25 | Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents Corrado Loglisci, Dino Ienco, Mathieu Roche, Maguelonne Teisseire, and Donato Malerba |
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| 10:30 - 11:00 | Coffee Break |
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10:30 - 11:00 | Coffee Break |
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10:30 - 11:00 | Coffee Break | event_type == 4) {?>Coffee Break | event_type == 5) {?>10:30 - 11:00 | Coffee Break |
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| 11:00 - 11:25 | Hierarchical Classifier-Regression Ensemble for Multi-Phase Non-Linear Dynamic System Response Prediction: Application to Climate Analysis Doel Gonzalez, Zhengzhang Chen, Isaac Tetteh, Tatdow Pansombut, Fredrick Semazzi, Vipin Kumar, Anatoli Melechko, and Nagiza Samatova |
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11:00 - 11:25 | Hierarchical Classifier-Regression Ensemble for Multi-Phase Non-Linear Dynamic System Response Prediction: Application to Climate Analysis Doel Gonzalez, Zhengzhang Chen, Isaac Tetteh, Tatdow Pansombut, Fredrick Semazzi, Vipin Kumar, Anatoli Melechko, and Nagiza Samatova |
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11:00 - 11:25 | Hierarchical Classifier-Regression Ensemble for Multi-Phase Non-Linear Dynamic System Response Prediction: Application to Climate Analysis | event_type == 4) {?>Hierarchical Classifier-Regression Ensemble for Multi-Phase Non-Linear Dynamic System Response Prediction: Application to Climate Analysis | event_type == 5) {?>11:00 - 11:25 | Hierarchical Classifier-Regression Ensemble for Multi-Phase Non-Linear Dynamic System Response Prediction: Application to Climate Analysis Doel Gonzalez, Zhengzhang Chen, Isaac Tetteh, Tatdow Pansombut, Fredrick Semazzi, Vipin Kumar, Anatoli Melechko, and Nagiza Samatova |
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| 11:25 - 11:50 | Approximate Search on Massive Spatiotemporal Datasets Ivan Brugere, Karsten Steinhaeuser, Shyam Boriah, and Vipin Kumar |
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11:25 - 11:50 | Approximate Search on Massive Spatiotemporal Datasets Ivan Brugere, Karsten Steinhaeuser, Shyam Boriah, and Vipin Kumar |
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11:25 - 11:50 | Approximate Search on Massive Spatiotemporal Datasets | event_type == 4) {?>Approximate Search on Massive Spatiotemporal Datasets | event_type == 5) {?>11:25 - 11:50 | Approximate Search on Massive Spatiotemporal Datasets Ivan Brugere, Karsten Steinhaeuser, Shyam Boriah, and Vipin Kumar |
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| 12:00 - 13:30 | Lunch Break Break |
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12:00 - 13:30 | Lunch Break Break |
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12:00 - 13:30 | Lunch Break Break | event_type == 4) {?>Lunch Break Break | event_type == 5) {?>12:00 - 13:30 | Lunch Break Break |
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| 13:30 - 14:00 | Invited Talk |
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13:30 - 14:00 | Invited Talk |
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13:30 - 14:00 | Invited Talk | event_type == 4) {?>Invited Talk | event_type == 5) {?>13:30 - 14:00 | Invited Talk |
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| 14:00 - 14:25 | Geo-referenced Time-series Summarization Using k-Full Trees: A Summary of Results Dev Oliver, Shashi Shekhar, James Kang, Renee Bousselaire, Veronica Carlan, and Michael Evans |
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14:00 - 14:25 | Geo-referenced Time-series Summarization Using k-Full Trees: A Summary of Results Dev Oliver, Shashi Shekhar, James Kang, Renee Bousselaire, Veronica Carlan, and Michael Evans |
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14:00 - 14:25 | Geo-referenced Time-series Summarization Using k-Full Trees: A Summary of Results | event_type == 4) {?>Geo-referenced Time-series Summarization Using k-Full Trees: A Summary of Results | event_type == 5) {?>14:00 - 14:25 | Geo-referenced Time-series Summarization Using k-Full Trees: A Summary of Results Dev Oliver, Shashi Shekhar, James Kang, Renee Bousselaire, Veronica Carlan, and Michael Evans |
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| 14:25 - 14:50 | Mining Spatio-temporal Patterns in the Presence of Concept Hierarchies Le Van Quoc Anh and Michael Gertz |
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14:25 - 14:50 | Mining Spatio-temporal Patterns in the Presence of Concept Hierarchies Le Van Quoc Anh and Michael Gertz |
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14:25 - 14:50 | Mining Spatio-temporal Patterns in the Presence of Concept Hierarchies | event_type == 4) {?>Mining Spatio-temporal Patterns in the Presence of Concept Hierarchies | event_type == 5) {?>14:25 - 14:50 | Mining Spatio-temporal Patterns in the Presence of Concept Hierarchies Le Van Quoc Anh and Michael Gertz |
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| 14:50 - 15:15 | Spatio-temporal Co-occurrence Pattern Mining in Data Sets with Evolving Regions JKarthik Ganesan Pillai, Rafal Angryk, and Juan Banda |
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14:50 - 15:15 | Spatio-temporal Co-occurrence Pattern Mining in Data Sets with Evolving Regions JKarthik Ganesan Pillai, Rafal Angryk, and Juan Banda |
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14:50 - 15:15 | Spatio-temporal Co-occurrence Pattern Mining in Data Sets with Evolving Regions | event_type == 4) {?>Spatio-temporal Co-occurrence Pattern Mining in Data Sets with Evolving Regions | event_type == 5) {?>14:50 - 15:15 | Spatio-temporal Co-occurrence Pattern Mining in Data Sets with Evolving Regions JKarthik Ganesan Pillai, Rafal Angryk, and Juan Banda |
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| 15:15 - 15:30 | Spatial Interestingness Measures for Co-location Pattern Miningt Christian Sengstock, Michael Gertz, and Canh Tran Van |
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15:15 - 15:30 | Spatial Interestingness Measures for Co-location Pattern Miningt Christian Sengstock, Michael Gertz, and Canh Tran Van |
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15:15 - 15:30 | Spatial Interestingness Measures for Co-location Pattern Miningt | event_type == 4) {?>Spatial Interestingness Measures for Co-location Pattern Miningt | event_type == 5) {?>15:15 - 15:30 | Spatial Interestingness Measures for Co-location Pattern Miningt Christian Sengstock, Michael Gertz, and Canh Tran Van |
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| 15:30 - 16:00 | Coffee Break |
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15:30 - 16:00 | Coffee Break |
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15:30 - 16:00 | Coffee Break | event_type == 4) {?>Coffee Break | event_type == 5) {?>15:30 - 16:00 | Coffee Break |
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| 16:00 - 16:30 | Invited Talk |
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16:00 - 16:30 | Invited Talk |
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16:00 - 16:30 | Invited Talk | event_type == 4) {?>Invited Talk | event_type == 5) {?>16:00 - 16:30 | Invited Talk |
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| 16:30 - 16:45 | Performance-Optimizing Classification of Time-series based on Nearest Neighbor Density Approximation Shin Ando |
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16:30 - 16:45 | Performance-Optimizing Classification of Time-series based on Nearest Neighbor Density Approximation Shin Ando |
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16:30 - 16:45 | Performance-Optimizing Classification of Time-series based on Nearest Neighbor Density Approximation | event_type == 4) {?>Performance-Optimizing Classification of Time-series based on Nearest Neighbor Density Approximation | event_type == 5) {?>16:30 - 16:45 | Performance-Optimizing Classification of Time-series based on Nearest Neighbor Density Approximation Shin Ando |
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| 16:45 - 17:00 | Comparative Study of Association Rule Mining and MiSTIC in Extracting Spatio-Temporal Disease Occurrences Patterns Vipul Raheja and Krishnan Rajan |
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16:45 - 17:00 | Comparative Study of Association Rule Mining and MiSTIC in Extracting Spatio-Temporal Disease Occurrences Patterns Vipul Raheja and Krishnan Rajan |
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16:45 - 17:00 | Comparative Study of Association Rule Mining and MiSTIC in Extracting Spatio-Temporal Disease Occurrences Patterns | event_type == 4) {?>Comparative Study of Association Rule Mining and MiSTIC in Extracting Spatio-Temporal Disease Occurrences Patterns | event_type == 5) {?>16:45 - 17:00 | Comparative Study of Association Rule Mining and MiSTIC in Extracting Spatio-Temporal Disease Occurrences Patterns Vipul Raheja and Krishnan Rajan |
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| 17:00 - 17:15 | Location Extraction from Social Networks with Commodity Software and Online Data Dimitrios Gunopulos |
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17:00 - 17:15 | Location Extraction from Social Networks with Commodity Software and Online Data Dimitrios Gunopulos |
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17:00 - 17:15 | Location Extraction from Social Networks with Commodity Software and Online Data | event_type == 4) {?>Location Extraction from Social Networks with Commodity Software and Online Data | event_type == 5) {?>17:00 - 17:15 | Location Extraction from Social Networks with Commodity Software and Online Data Dimitrios Gunopulos |
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| 17:15 - 17:30 | Closing Remarks |
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17:15 - 17:30 | Closing Remarks |
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17:15 - 17:30 | Closing Remarks | event_type == 4) {?>Closing Remarks | event_type == 5) {?>17:15 - 17:30 | Closing Remarks |
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