Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 9 of 9 for “"Spatial Data Mining"”.
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Geo-Analytics of Citizen-Government Interaction: The Integration of Spatial Data Mining, Volunteered Geographic Information (VGI), And Geovisualization To Explore Non-emergency Requests in the State of Kuwait
… of public services (or commons) at high spatial and temporal scales. In addition to the commons provision, governments are ought to maintain the commons to be at high quality standards. However, the rapid consumption of the urban commons, with the urban expansion in space, represented a …
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Sweep-Line Extensions to the Multiple Object Intersection Problem: Methods and Applications in Graph Mining
… this problem can effectively inform a number of spatial data mining methods and can provide support in decision making for a variety of critical applications. The state-of-the-art approach for addressing such problems resorts to an algorithmic paradigm, collectively known as the sweep-line or …
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Spatiotemporal Event Forecasting and Analysis with Ubiquitous Urban Sensors
… provide an immense amount of heterogeneous urban data, such as traffic data, crime activity statistics, social media messages, and street imagery. The development of methods for heterogeneous urban data-based event identification and impacts analysis for a variety of event topics and assumptions …
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Co-Location Decision Tree for Enhancing Decision-Making of Pavement Maintenance and Rehabilitation
… infrastructure. Since a vast amount of pavement data is frequently and continuously being collected, updated, and exchanged due to rapidly deteriorating road conditions, increased traffic loads, and shrinking funds, resulting in the rapid accumulation of a large pavement database, knowledge-based …
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Abnormal Pattern Recognition in Spatial Data
In the recent years, abnormal spatial pattern recognition has received a great deal of attention from both industry and academia, and has become an important branch of data mining. Abnormal spatial patterns, or spatial outliers, are those observations whose characteristics are markedly different …
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Summarizing data with representative patterns
The advance of technology makes data acquisition and storage become unprecedentedly convenient. It contributes to the rapid growth of not only the volume but also the veracity and variety of data in recent years, which poses new challenges to the data mining area. For example, uncertain data mining …
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FP-tree Based Spatial Co-location Pattern Mining
A co-location pattern is a set of spatial features frequently located together in space. A frequent pattern is a set of items that frequently appears in a transaction database. Since its introduction, the paradigm of frequent pattern mining has undergone a shift from candidate generation-and-test …
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A Methodology for Finding Uniform Regions in Spatial Data and its Application to Analyzing the Composition of Cities
… of the composition of cities, a polygon-based spatial clustering and analysis framework for studying urban evolution is proposed in this thesis. A spatial clustering algorithm named CLEVER is used to identify urban patches that are clusters of polygons representing different elements of the …