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Chapter and Conference Paper
A Bayesian Framework for Individual Exposure Estimation on Uncertain Paths
Current map matching and path reconstruction algorithms exhibit high success rates on dense data. We present a framework for estimating path selection probabilities from extremely sparse GPS data for the purpo...
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Chapter and Conference Paper
SCHAS: A Visual Evaluation Framework for Mobile Data Analysis of Individual Exposure to Environmental Risk Factors
Exposure to environmental risk factors as well as weather conditions are known to have negative effects on health. Until recently, there was little a society could do for an individual at risk, other than prov...
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Article
An interactive framework for spatial joins: a statistical approach to data analysis in GIS
Many Geographic Information Systems (GIS) handle a large volume of geospatial data. Spatial joins over two or more geospatial datasets are very common operations in GIS for data analysis and decision support. ...
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Article
Enterprise Systems: Curriculum design and assessment
We present a curriculum that prepares students for supporting large Enterprise Information Systems (EIS). EIS is best explained through the evolution of Enterprise Resource Planning (ERP). These systems evolve...
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Article
IRSJ: incremental refining spatial joins for interactive queries in GIS
An increasing number of emerging web database applications deal with large georeferenced data sets. However, exploring these large data sets through spatial queries can be very time and resource intensive. The...
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Article
Web data retrieval: solving spatial range queries using k-nearest neighbor searches
As Geographic Information Systems (GIS) technologies have evolved, more and more GIS applications and geospatial data are available on the web. Spatial objects in a given query range can be retrieved using spa...
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Chapter and Conference Paper
The Truncated Tornado in TMBB: A Spatiotemporal Uncertainty Model for Moving Objects
The uncertainty management problem is one of the key issues associated with moving objects (MOs). Minimizing the uncertainty region size can increase both query accuracy and system performance. In this paper, we ...
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Chapter and Conference Paper
MBR Models for Uncertainty Regions of Moving Objects
The increase in the advanced location based services such as traffic coordination and management necessitates the need for advanced models tracking the positions of Moving Objects (MOs) like vehicles. Computers c...
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Chapter and Conference Paper
Supporting Range Queries on Web Data Using k-Nearest Neighbor Search
A large volume of geospatial data is available on the web through various forms of applications. However, access to these data is limited by certain types of queries due to restrictive web interfaces. A typica...
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Chapter and Conference Paper
The Tornado Model: Uncertainty Model for Continuously Changing Data
To support emerging database applications that deal with continuously changing (or moving) data objects (CCDOs), such as vehicles, RFIDs, and multi-stimuli sensors, one requires an efficient data management sy...
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Chapter and Conference Paper
An Incremental Refining Spatial Join Algorithm for Estimating Query Results in GIS
Geographic information systems (GIS) must support large georeferenced data sets. Due to the size of these data sets finding exact answers to spatial queries can be very time consuming. We present an incrementa...
