4th International Workshop on Spatial and Spatio-Temporal Data Mining (SSTDM-09)
(In Conjunction with the IEEE International Conference on Data Mining (ICDM-09))
Miami, Florida, USA. December 06, 2009
 http://www.ornl.gov/sci/knowledgediscovery/sstdm-09/

Moderators

Time

Duration
(Mins)

Presentation

 

Session 1: 8:30 – 10:00

8:30 – 8:40

10

Opening Remarks: Prof. Shashi Shekhar and Prof. Peggy Agouris

8:40 – 9:00

20        

Arie Croitoru, "Deriving low-level steering behaviors from trajectory data"

9:00 – 9:20

20

Shrikant Kashyap, Sujoy Roy, Mong Li Lee, and Wynne Hsu, "FARM : Feature-assisted Aggregate Route Mining in Trajectory Data"

9:20 – 9:40

20

Dhaval Patel, Chidansh Bhatt, Wynne Hsu, Mong Li Lee, and Mohan S, "Analyzing Abnormal Events from Spatio-Temporal Trajectories"

9:40 – 10:00

20

Cheng Chang and Bao-yao Zhou, "Multi-granularity Visualization of Trajectory Clusters using Sub-trajectory Clustering"

 Break

10:00 – 10:30

25

Coffee Break

Session 2:
10:30 – 12:15

10:30 – 11:30

60

Joint Session with "Knowledge Discovery from Climate Data". Invited Speakers are:

  • Ashok Srivastava, NASA Ames Research Center
  • Sean Shadomy, U.S. Centers for Disease Control and Prevention

11:30 – 11:50

20

Hyunjin Yoon and Cyrus Shahabi, "Accurate Discovery of Valid Convoys from Moving Object Trajectories"

11:50 – 12:10

20

Mirco Nanni and Roberto Trasarti, "K-BestMatch reconstruction and comparison of trajectory data"

 Break

12:10 – 2:00

01:50

Lunch

Session 3: 2:00 – 4:00

 

2:00 – 2:20

20

Anthony Stefanidis, Caixia Wang, Xu Lu, and Kevin M Curtin, "Multilayer Scene Similarity Assessment"

2:20 – 2:40

20

Timothy Supinie, Amy McGovern, John Williams, and Jennifer Abernethy, "Spatiotemporal Relational Random Forests"

2:40 – 3:00

20

Matthew Bodenhamer, Samuel Bleckley, Daniel Fennelly, Andrew Fagg, and Amy McGovern, "Spatio-Temporal Multi-Dimensional Relational Framework Trees"

3:00 – 3:20

20

Guido Cervone, Pasquale Franzese, Anthony Stefanidis, and Peggy Agouris, "Spatiotemporal Modeling and Monitoring of Atmospheric Hazardous Emissions using Sensor Networks"

3:20 – 4:10

50

  • Jason Bank, Olufemi Omitaomu, Steven Fernandez, and Yilu Liu, "A Data Mining Framework for Detecting Disruptive Events in High-Speed Frequency Data Streams"
  • Zubin Abraham and Pang-Ning Tan, "A Semi-supervised Framework for Simultaneous Classification and Regression of Zero-Inflated Time Series Data with Application to Precipitation Prediction"
  • Surya Durbha, Roger King, Santhosh Amanchi, Shruthi Bheemireddy, and Nicolas Younan, "Information Services and Middleware for the Coastal Sensor Web"
  • Lamia Fattouh Ibrahim, Weam M. Minshawi, Isra yosef Ekkab, Nehal Mahmoud. AL-Jurf., Afnan Salem Babrahim, and Samar Faisl Al-halees, "Enhancing the DBSCAN and Agglomerative Clustering Algorithms to Solve Network Planning Problem"
  • Thomas Liebig, Christine Kφrner, and Michael May, "Fast Visual Trajectory Analysis using Spatial Bayesian Networks"

 Break

4:00 – 4:30

30

Coffee Break

Session 4:
4:30 – 5:30

 4:30 – 4:50

20

Goo Jun, Ranga Raju Vatsavai, and Joydeep Ghosh, "Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes"

4:50 – 5:10

20

Diansheng Guo, "Greedy Optimization for Contiguity-Constrained Hierarchical Clustering"

5:10 – 5:50

40

Panel

5:50 –

10

Closing Remarks