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A comprehensive geospatial knowledge discovery framework for spatial association rule mining
Title
A comprehensive geospatial knowledge discovery framework for spatial association rule mining
Author
Dao, Thi Hong Diep
Date Created
2013
Description
Continuous advances in modern data collection techniques help spatial scientists gain access to massive and high-resolution spatial and spatio-temporal data. Thus there is an urgent need to develop effective and efficient methods seeking to find u...
A mixed-methods approach for vector-borne disease surveillance in Colombia
Title
A mixed-methods approach for vector-borne disease surveillance in Colombia
Author
Desjardins, Michael
Date Created
2020
Description
Vector-borne diseases (VBDs) affect more than 1 billion people a year worldwide, cause over 1 million deaths, and result in hundreds of billions of dollars in societal costs. Dengue fever (DENF), chikungunya (CHIK), and Zika are three emerging VBD...
ACCELERATING THE DETECTION OF SPACE-TIME PATTERNS UNDER NON-STATIONARY BACKGROUND POPULATION
Title
ACCELERATING THE DETECTION OF SPACE-TIME PATTERNS UNDER NON-STATIONARY BACKGROUND POPULATION
Author
Hohl, Alexander
Date Created
2018
Description
The advancement of technology has enabled us to collect increasing quantities of spatial and spatiotemporal data at rapidly increasing rate through sensor systems, automated geocoding abilities and social media platforms, such as Facebook or Twitt...
Spatially Explicit Hyperparameter Optimization for Neural Networks
Title
Spatially Explicit Hyperparameter Optimization for Neural Networks
Author
Zheng, Minrui
Date Created
2020
Description
Neural networks as a commonly used machine learning algorithms, such as artificial neural networks (ANNs) and convolutional neural networks (CNNs), have been extensively used in GIScience domain to explore the nonlinear geographic phenomena. Howev...