Search for dissertations about: "data pattern"
Showing result 1 - 5 of 1485 swedish dissertations containing the words data pattern.
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1. Algorithmically Guided Information Visualization : Explorative Approaches for High Dimensional, Mixed and Categorical Data
Abstract : Facilitated by the technological advances of the last decades, increasing amounts of complex data are being collected within fields such as biology, chemistry and social sciences. The major challenge today is not to gather data, but to extract useful information and gain insights from it. READ MORE
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2. Learning predictive models from graph data using pattern mining
Abstract : Learning from graphs has become a popular research area due to the ubiquity of graph data representing web pages, molecules, social networks, protein interaction networks etc. However, standard graph learning approaches are often challenged by the computational cost involved in the learning process, due to the richness of the representation. READ MORE
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3. Towards Privacy Preserving Micro-data Analysis : A machine learning based perspective under prevailing privacy regulations
Abstract : Machine learning (ML) has been employed in a wide variety of domains where micro-data (i.e., personal data) are used in the training process. READ MORE
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4. Data mining of geospatial data: combining visual and automatic methods
Abstract : Most of the largest databases currently available have a strong geospatial component and contain potentially useful information which might be of value. The discipline concerned with extracting this information and knowledge is data mining. Knowledge discovery is performed by applying automatic algorithms which recognise patterns in the data. READ MORE
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5. Data Modeling for Outlier Detection
Abstract : This thesis explores the data modeling for outlier detection techniques in three different application domains: maritime surveillance, district heating, and online media and sequence datasets. The proposed models are evaluated and validated under different experimental scenarios, taking into account specific characteristics and setups of the different domains. READ MORE