IEEE Workshop on Spatial and Spatio-Temporal Data Mining (SSTDM-08)

(In Cooperation with IEEE International Conference on Data Mining,

Pisa, Italy. December 15, 2008) http://www.ornl.gov/sci/knowledgediscovery/sstdm-08/

 

Moderators

Time

Duration

(Mins)

Presentation

 

9:00 – 9:10

10

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

Raju Vatsavai

9:10 – 9:30

20        

“Detection and Exploration of Outlier Regions in Sensor Data Streams” --Conny Franke and Michael Gertz

9:30 – 9:50

20

“Enriching Spatial OLAP with Map Generalization: a Conceptual Multidimensional Model” -- Sandro Bimonte, Jérôme Gensel, and Michela Bertolotto

9:50 – 10:35

45

Invited Talk 1: Prof. Mirco Nanni

 

10:35 – 11:00

25

Coffee Break (and poster setup)

Prof. Jessica Lin

11:00 – 12:30

90

Poster Presentations (10 Minutes each)

·         “A Spatio-Temporal Simulation Model for Movement Data Handling and Visualization” -- Dima Alberg, Mark Last, and Sigal Elnekave

·         “Geographic Knowledge Discovery in INGENS: an Inductive Database Perspective” -- Annalisa Appice, Anna Ciampi, Antonietta Lanza, Donato Malerba, Antonella Rapolla, and Luisa Vetturi

·         “Risk Assessment of Atmospheric Hazard Releases using K-means” --Guido Cervone, Pasquale Franzese, Yasemin Ezber, and Zafer Boybeyi

·         “Standards-Based Coastal Sensor Web” -- Surya Durbha, Roger King, Nicolas Younan, Santosh Rajender, and Shruthi Bheemireddy

·         “RE-SPaM: Using Regular Expressions for Sequential Pattern Mining in Trajectory Databases” -- Leticia Gomez and Alejandro Vaisman

·         “Speeding up Array Query Processing by Just-In-Time Compilation” -- Constantin Jucovschi, Peter Baumann, and Sorin Stancumara

·         “Scalable Sparse Bayesian Network Learning for Spatial Applications” -- Thomas Liebig, Christine Kérner, and Michael May

·         “Query Frequency Trend Prediction by Unifying Periodic Information and Accidental Factors” -- Ning Liu

·         “A Vector-Geometry Based Spatial kNN-Algorithm for Traffic Frequency Predictions” -- Michael May, Dirk Hecker, Christine Körner, Simon Scheider, and Daniel Schulz

 

12:30 – 2:00

90

Lunch and Poster Session

Prof. Donato Malerba

2:00 – 2:20

20

“Detecting and Tracking Spatio-Temporal Clusters with Adaptive History Filtering” -- James Rosswog and Kanad Ghose

2:20 – 2:40

20

“A Robust Graph-based Algorithm for Detection and Characterization of Anomalies in Noisy Multivariate Time Series” -- Haibin Cheng, Pang-Ning Tan, Christopher Potter, and Steven Klooster

2:40 – 3:00

20

“Incremental Maintenance of Discovered Spatial Colocation Patterns” -- Jiangfeng He, Qinming He, Feng Qian, and Qi Chen

3:00 – 3:20

20

“Extraction of Discriminative Features from Hyperspectral Data” -- Habil Kalkan and Yasemin Yardimci

 

 

3:20 – 4:05

45

Invited Talk 2: Prof. Roger King

 

4:05 – 4:30

25

Coffee Break and Poster Session

Prof. Guido Cervone

4:30 – 4:50

20

“A Semi-supervised Learning Algorithm for Recognizing Sub-Classes” -- Ranga Raju Vatsavai, Shashi Shekhar, and Budhendra Bhaduri

4:50 – 5:10

20

“High Granularity Remote Sensing and Crop Production over Space and Time: NDVI over the  Growing Season and Prediction of Cotton Yields at the Farm Field Level in Texas” -- Bert Little, Michael Schucking, Brandon Gartrell, Bing Chen, Kenton Ross, and Rodney McKelllip

5:10 – 5:30

20

 “Kernels for the Investigation of Localized Spatiotemporal Transitions of Drought with Support Vector Machines” -- Matthew Collier and Amy McGovern

5:30 – 5:50

20

“Data mining for climate change and impacts” -- Auroop Ganguly and Karsten J Steinhaeuser

 

5:50 – 6:30

40

Panel: Prof. Chiara Renso, Prof. Carlotta Domeniconi, Prof. Donato Malerba

 

6:30 – 6:45

15

Closing Remarks: Jessica Lin, Guido Cervone, Ranga Raju Vatsavai