GMU Software Engineering <>  Seminar


Date: Wed, 01/28/2009
Time: 11:30 - 12:30pm
Location: 430A ST2
Pizza will be served at 12:30pm with an opportunity to meet with Dr. Ding
after the talk


Title: Discriminating Patterns for Empirical Discovery in Geospatial Data

Speaker: Wei Ding <> 
Assistant Professor, University of Massachusetts Boston

Numerous properties of an increasing number of sites on Earth are now
thoroughly measured due to routinization of remote sensing and the progress
in the GIS techniques. This new found richness of geospatial data in
conjuncture with intelligent data processing transforms our understanding of
geospatial phenomena. This project seeks to contribute to this trend by
developing methods for auto-modeling causal relationships that are present
between geographically collocated geo-variables but have been difficult or
impossible to identify using traditional methods. Specifically, the project
aims at providing the scientific community with an efficient tool for
auto-analyzing the root causes behind observed patterns in geospatial data.
We propose to integrate techniques from association analysis, reinforcement
learning, and similarity measurement to design a tool that provides a domain
expert with a complete yet comprehensible empirical model of an observed
phenomenon. Novel solutions are required at all stages of the method
development: (i) integration of geospatial data into the format suitable to
association analysis, (ii) determining a scope and footprint of the studied
phenomenon, (iii) selecting patterns of controlling factors that are
indicative of the phenomenon, and (iv) summarizing the patterns into the
products which are of immediate use to a domain experts.

Wei Ding is an Assistant Professor of Computer Science at the University of
Massachusetts Boston. She received her M.Sc. Degree in Software Engineering
from the George Mason University in 2000 and her Ph.D. degree in Computer
Science from the University of Houston in 2008. Her main research interests
include Data Mining, Machine Learning, Artificial Intelligence and with
applications to astronomy, geosciences, and environmental sciences.

Host: Jeff <>  Offutt and Paul Ammann



Sam Malek, Ph.D.

Assistant Professor

Department of Computer Science

Volgenau School of Information Technology and Engineering

George Mason University

Fairfax, VA 22030-4444 U.S.A.

Phone: +1-703-993-1677

Email: [log in to unmask]