[Qgis-community-team] Call for Participation ACM SIGSPATIAL International Workshop on Data Mining for Geoinformatics (DMG) 2010 == EARLY REGISTRATION DEADLINE: OCT 14

Wei Ding ding at cs.umb.edu
Tue Oct 12 16:29:47 EDT 2010


EARLY REGISTRATION DEADLINE: OCT 14


ACM SIGSPATIAL International Workshop on Data Mining for Geoinformatics
(DMG) 2010

in conjunction with

18th ACM SIGSPATIAL International Conference on Advances in Geographic
Information Systems
(ACM SIGSPATIAL GIS 2010)


November 2, 2010
San Jose, CA, USA
http://cervone.gmu.edu/research/ACM-DMGI-10.html


CALL FOR PARTICIPATION
--------------------------------------

Studying, understanding and protecting the earth and its environment are
issues of crucial importance for the sustainment

and development of our society. Global climate change, severe weather, and
catastrophic natural hazards such as volcanic

eruptions, earthquakes, hurricanes, floods, etc, require new scientific
methodologies for their study. Understanding

their governing dynamics and striving towards their timely detection,
prediction, and prevention can help protect lives

and properties, and minimize economic impact. The field of Geoinformatics
focuses on the development of novel scientific

algorithms and the implementation of computational methods to provide
solutions to pressing earth-related problems.

Recent advances in ground, air- and space-borne sensor technologies have
provided scientists from different disciplines

an unprecedented access to earth-related data. These developments are
quickly leading towards a data-rich but

information-poor environment. The rate at which geospatial data are being
generated clearly exceeds our ability to

organize and analyze them to extract patterns critical for understanding in
a timely manner a dynamically changing world.

These massive amounts of data require the use of an integrated framework
based on Geographic information science (GIS) to

address a variety of scientific questions, such as identifying strong
patterns, clustering similar data points, detecting

anomalies, and abstracting relevant information from sequences of satellite
imagery.

The scope of this workshop is to provide a forum for the exchange of ideas
and the establishment of synergistic

activities among scientists working in fields such as geographic information
science (GIS), data mining, machine

learning, geoinformatics, remote sensing, as well as natural hazards, earth
and atmospheric sciences. During this one-day

event we aim to bring together these scientific communities, which are
overlapping but not always interacting.


ACCEPTED PAPERS


Regular Papers

A Polygon-based Methodology for Mining Related Spatial Datasets
Sujing Wang, Chun-Sheng Chen, Vadeerat Rinsurongkawong, Faith Akdag,
Christoph F. Eick

HC-DT/SVM: A Tightly Coupled Hybrid Decision Tree and Support Vector
Machines Algorithm with Application to Land Cover

Change Detections
Jianting Zhang

Framework of Integration for Collaboration and Spatial Data Mining Among
Heterogeneous Sources in the Web
André Fabiano de Moraes, Lia Bastos

Geospatial Route Extraction from Texts
Euthymios Drymonas, Dieter Pfoser

Assessment of Error in Air Quality Models Using Dynamic Time Warping
Jessica Lin, Guido Cervone, Pasquale Franzese

View Reconstruction from Images by Removing Vehicles
Li Chen, Lu Jin, Jing Dai, Jianhua Xuan

Student Paper

Land Use Analysis using GIS, Radar and Thematic Mapper in Ethiopia
Haile Tadesse


WORKSHOP GENERAL CHAIRS


Nigel Waters, George Mason University
Jessica Lin, George Mason University
Guido Cervone, George Mason University

-- 
Wei Ding
Assistant Professor, Computer Science Department
University of Massachusetts Boston
100 Morrissey Blvd., Boston, MA 02125
(Ph) 617-287-6428 (Fax) 617-287-6433
http://www.cs.umb.edu/~ding
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