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Predictive Modeling For Navigating Social Media, Meiqun Hu
Predictive Modeling For Navigating Social Media, Meiqun Hu
Dissertations and Theses Collection (Open Access)
Social media changes the way people use the Web. It has transformed ordinary Web users from information consumers to content contributors. One popular form of content contribution is social tagging, in which users assign tags to Web resources. By the collective efforts of the social tagging community, a new information space has been created for information navigation. Navigation allows serendipitous discovery of information by examining the information objects linked to one another in the social tagging space. In this dissertation, we study prediction tasks that facilitate navigation in social tagging systems. For social tagging systems to meet complex navigation needs …
Efficient And Scalable Evaluation Of Continuous, Spatio-Temporal Queries In Mobile Computing Environments, Jonathan M. Cazalas
Efficient And Scalable Evaluation Of Continuous, Spatio-Temporal Queries In Mobile Computing Environments, Jonathan M. Cazalas
Electronic Theses and Dissertations
A variety of research exists for the processing of continuous queries in large, mobile environments. Each method tries, in its own way, to address the computational bottleneck of constantly processing so many queries. For this research, we present a two-pronged approach at addressing this problem. Firstly, we introduce an efficient and scalable system for monitoring traditional, continuous queries by leveraging the parallel processing capability of the Graphics Processing Unit. We examine a naive CPU-based solution for continuous range-monitoring queries, and we then extend this system using the GPU. Additionally, with mobile communication devices becoming commodity, location-based services will become ubiquitous. …
An Application Of Camx Process Analysis Tools : Exploring Process Contributions To Extreme Ozone, Nitrogen Oxides And Sulfur Dioxide, David-Anthony Murray
An Application Of Camx Process Analysis Tools : Exploring Process Contributions To Extreme Ozone, Nitrogen Oxides And Sulfur Dioxide, David-Anthony Murray
Legacy Theses & Dissertations (2009 - 2024)
The University at Albany Air Quality Forecasting Modeling System (AQFMS) is a state-of-the-art model that generates reliable daily and "day-ahead" air quality forecasts for the Northeastern United States. The three major categories of processes which dictate regional air quality are production from emission sources, horizontal and vertical transport driven by the prevailing meteorology, and chemical transformations. The Advanced Research WRF (ARW) produces meteorological fields. The Sparse Matrix Operator for Kernel Emissions (SMOKE) processes available emission inventories for air quality modeling. The Comprehensive Air Quality Model with extension (CAMx) handles both chemical processes and the integration of ARW-WRF and SMOKE in …