Search for dissertations about: "spatio-temporal clustering"
Found 5 swedish dissertations containing the words spatio-temporal clustering.
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1. Enhancing Short-Term Traffic Prediction for Large-Scale Transport Networks by Spatio-Temporal Clustering
Abstract : Congestion in large cities is responsible for extra travel time, noise, air pollution, CO2 emissions, and more. Transport is one of the main recognized contributors to global warming and climate change, which is getting increasing attention from authorities and societies around the world. READ MORE
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2. Short-Term Traffic Prediction in Large-Scale Urban Networks
Abstract : City-wide travel time prediction in real-time is an important enabler for efficient use of the road network. It can be used in traveler information to enable more efficient routing of individual vehicles as well as decision support for traffic management applications such as directed information campaigns or incident management. READ MORE
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3. Non-parametric methods for functional data
Abstract : In this thesis we develop and study non-parametric methods within three major areas of functional data analysis: testing, clustering and prediction. The thesis consists of an introduction to the field, a presentation and discussion of the three areas, and six papers. READ MORE
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4. Data Abstraction and Pattern Identification in Time-series Data
Abstract : Data sources such as simulations, sensor networks across many application domains generate large volumes of time-series data which exhibit characteristics that evolve over time. Visual data analysis methods can help us in exploring and understanding the underlying patterns present in time-series data but, due to their ever-increasing size, the visual data analysis process can become complex. READ MORE
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5. Efficient Data Streaming Analytic Designs for Parallel and Distributed Processing
Abstract : Today, ubiquitously sensing technologies enable inter-connection of physical objects, as part of Internet of Things (IoT), and provide massive amounts of data streams. In such scenarios, the demand for timely analysis has resulted in a shift of data processing paradigms towards continuous, parallel, and multitier computing. READ MORE