Search for dissertations about: "data evaluation analys"
Showing result 1 - 5 of 107 swedish dissertations containing the words data evaluation analys.
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1. Disinformative and Uncertain Data in Global Hydrology : Challenges for Modelling and Regionalisation
Abstract : Water is essential for human well-being and healthy ecosystems, but population growth and changes in climate and land-use are putting increased stress on water resources in many regions. To ensure water security, knowledge about the spatiotemporal distribution of these resources is of great importance. READ MORE
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2. How can data science contribute to a greener world? : an exploration featuring machine learning and data mining for environmental facilities and energy end users
Abstract : Human society has taken many measures to address environmental issues. For example, deploying wastewater treatment plants (WWTPs) to alleviate water pollution and the shortage of usable water; using waste-to-energy (WtE) plants to recover energy from the waste and reduce its environmental impact. READ MORE
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3. Analyzing self-report data : assessing basic psychological needs in education and at work
Abstract : The overall aims of this thesis were 1) to investigate how to measure and model basic psychological needs in higher education and work contexts, specifically in Swedish-speaking populations, and 2) to analyze the psychometric properties of basic psychological needs self-report instruments.The thesis consists of four studies and a summary. READ MORE
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4. Evaluation and Analysis of Supervised Learning Algorithms and Classifiers
Abstract : The fundamental question studied in this thesis is how to evaluate and analyse supervised learning algorithms and classifiers. As a first step, we analyse current evaluation methods. Each method is described and categorised according to a number of properties. READ MORE
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5. Quantifying Process Quality : The Role of Effective Organizational Learning in Software Evolution
Abstract : Real-world software applications must constantly evolve to remain relevant. This evolution occurs when developing new applications or adapting existing ones to meet new requirements, make corrections, or incorporate future functionality. READ MORE