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 5 of 5 for “"Multi-relational Data"”.
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Probabilistic models for multi-relational data analysis.
With the widespread application of data mining technologies to real life problems, there has been an increasing realization that real data are usually multi-relational, capturing a variety of relations among objects in the same or different entities. For example, in movie recommender systems, the …
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Scalable Mining and Link Analysis Across Multiple Database Relations
Because of the complexity of multi-relational data, efficiency and scalability are two major concerns in multi-relational data mining. In this thesis we propose scalable and accurate approaches for each data mining task studied. In order to achieve high efficiency and scalability, the approaches …
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Node Classification on Relational Graphs Using Deep-RGCNs
… and opens a window for research in statistical relational learning tasks such as node classification and link prediction. This work proposes a deep learning framework based on existing relational convolutional (R-GCN) layers to learn on highly multi-relational data characteristic of realistic …
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Synthesizing Linked Data and Detecting Per-Query Gaps Under Differential Privacy
<p>The abundance of data, often containing private and sensitive information, coupled with an ever-growing interest in using the data for research and driving business value at scale has raised concerns about privacy protections. Formal policies have made access to such data heavily regulated, …
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Probabilistic Modeling of Multi-relational and Multivariate Discrete Data
Modeling and discovering knowledge from multi-relational and multivariate discrete data is a crucial task that arises in many research and application domains, e.g. text mining, intelligence analysis, epidemiology, social science, etc. In this dissertation, we study and address three problems …