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 6 of 6 for “"Large-scale databases"”.
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Data-driven approach to health care : applications using claims data
Large population health insurance claims databases together with operations research and data mining methods have the potential of significantly impacting health care management. In this thesis we research how claims data can be utilized in three important areas of health care and medicine and …
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Application of deep learning to land cover classification: practical issues and strategies
… importance to urban studies and planning. Large-scale databases provide comprehensive records, but in many circumstances, they need to be supplemented or substituted by alternative data sources. The advent of deep learning provides an efficient, low-cost data generation method in which a …
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Sequential pattern mining with uncertain data
… frequent patterns efficiently in uncertain databases. We also implement our algorithms on distributed computing platforms, such as MapReduce and Spark, so that they can be applied in large scale databases.</p> <p>Our work also includes uncertainty computation in supervised machine learning …
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Sampling Algorithms for Evolving Datasets
… under- or oversized samples. Furthermore, in large-scale databases with data being distributed across several remote locations, it is usually infeasible to reconstruct the entire dataset for the purpose of sampling. To address this problem, we provide efficient algorithms that directly combine …
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Face recognition using multiple features in different color spaces
… the existing face recognition methods use gray-scale face images, which have been shown insufficient to tackle these challenges. To overcome this challenging problem in face recognition, this dissertation applies multiple features derived from the color images instead of the intensity images …