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 10 of 10 for “"Data summarization"”.
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Efficient Algorithms for Querying Large and Uncertain Data
… problem in many research fields including database systems, data mining, and geometric computing. The goal is to preprocess input data into an index to efficiently answer queries over data. In many real applications we need to handle a large amount of data or/and data that are ambiguous …
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Evaluating summarization and inference techniques for high energy physics applications
… experimental high energy physics, more and more data is being produced for analysis. As the size of data sets grows, the runtime and computational requirements of traditional inference procedures can become intractable. The problem of scalable inference appears in many fields, and thus it is an …
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Robust Sketch Orchestration in Programmable Networks
… monitoring. These algorithms enable efficient data summarization, allowing network operators to monitor traffic patterns without placing significant computational or memory demands on network devices. However, existing solutions for sketch-based network monitoring assume that traffic rates are …
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Facets of proportionality
… subsumes facility location, clustering, and data summarization problems. For this setting, we establish novel connections between prominent fairness concepts like proportional fairness and individual fairness. Further, we relate the clustering setting to the proportionality notions we …
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Economic impact of international students attending an institution of higher education in the United States
… determined these estimates based on secondary data underestimated true economic return when compared to analysis based on primary data (Funk, 2001). Accurate economic estimation may positively affect state-level funding policy to institutions of higher education campuses. The problem addressed …
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Towards mission-driven summarization for tactical networks
… that includes minimizing the transmitted data volume to save network bandwidth consumption. There are two representative techniques in this case: compression and summarization. Compression represents the original data with fewer bytes and is widely used for multi-media data. Summarization, …
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Automatic concept learning via information lattices
… distilling interpretable rules and concepts from data, a prelude to more advanced knowledge discovery and problem solving in creative domains such as art and science. While concept learning is pervasive in humans, current artificial intelligent (AI) systems are mostly good at either applying …
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Data Summarizations for Scalable, Robust and Privacy-Aware Learning in High Dimensions
The advent of large-scale datasets has offered unprecedented amounts of information for building statistically powerful machines, but, at the same time, also introduced a remarkable computational challenge: how can we efficiently process massive data? This thesis presents a suite of data reduction …
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Scalable data analytics techniques for summarizing spatial network-based observations
… of large spatial or spatio-temporal datasets. For example, transportation planners and engineers may need to identify road segments that pose risks for pedestrians and require redesign. However, SSNO is computationally challenging for the following reasons: (1) There may be a large …