Search for dissertations about: "data analysis methods"
Showing result 1 - 5 of 3866 swedish dissertations containing the words data analysis methods.
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1. Data Stream Mining and Analysis : Clustering Evolving Data
Abstract : Streaming data is becoming more prevalent in our society every day. With the increasing use of technologies such as the Internet of Things (IoT) and 5G networks, the number of possible data sources steadily increases. Therefore, there is a need to develop algorithms that can handle the massive amount of data we now generate. READ MORE
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2. Handling severe uncertainty in strategic project appraisal : Methods and applications of context analysis
Abstract : The long-term success or failure of a strategic project is largely shaped by its context. Therefore, the assessment of the external factors influencing the fulfilment of project long-term goals is vital for the effective project appraisal and planning. READ MORE
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3. Methods for Analysis of Naturalistic Driving Data in Driver Behavior Research
Abstract : In the last several years, the focus of traffic safety research—especially when performed in association with the automotive industry—has shifted from preventing injury during a crash to avoiding the crash altogether or mitigating its effects. Pre-crash safety measures include intelligent safety systems (e.g. READ MORE
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4. Pathway analysis: methods and perspectives
Abstract : The amount of data being generated by high throughput molecular biology experiments grows every day, both in quantity and quality. With this comes the desire to have more powerful and comprehensive methods for statistical analysis that have been developed with the nature of this data in mind. READ MORE
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5. Flood Hazard Assessment in Data-Scarce Basins : Use of alternative data and modelling techniques
Abstract : Flooding is of great concern world-wide, causing damage to infrastructure, property and loss of life. Low-income countries, in particular, can be negatively affected by flood events due to their inherent vulnerabilities. Moreover, data to perform studies for flood risk management in low-income regions are often scarce or lacking sufficient quality. READ MORE