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