96x48 Powerpoint Poster Template

1
DISCOVERING PATTERNS OF INSURGENCY VIA
SPATIO-TEMPORAL DATA MINING James P.Rogers¹,
James A.Shine¹, Shashi Shekhar², Mete
Celik²¹U.S. Army ERDC, Topographic Engineering
Center, VA, USA james.p.rogers.II,
james.a.shine_at_erdc.uasce.army.mil ²Department of
Computer Science, University of Minnesota, MN,
USA shekhar,mcelik_at_cs.umn.edu
Object Types
Abstract
Motivating Example Input
Algorithms
The need to discover patterns in spatio-temporal
(ST) data has driven much recent research in ST
co-occurrence patterns. Early work focused on
spatial patterns such as co-location ignoring the
temporal aspects of ST datasets. This work
describes a novel set of co-occurrence patterns
called mixed-drove co-occurrence patterns
(MDCOPs). They represent subsets of two or more
different ST object types whose instance are
close to each other spatially and temporally.
Challenges
Output
Problem Statement
Experimental Evaluation
Figure 3
Figure 2
Figure 1
Figure 4