[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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