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 8 of 8 for “"Graph patterns"”.
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A framework for incremental view graph maintenance
Nowadays, graph data models are employed, when relationships between entities have to be stored and are in the scope of queries. For each entity, this graph data model locally stores relationships to adjacent entities. Users employ graph queries to query and modify these entities and relationships. …
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Privacy risk and de-anonymization in heterogeneous information networks
… networks by the use of specific types of graph patterns. We show how the extra information derived from heterogeneity can be used to relax these assumptions. To characterize and demonstrate this added threat, we formally define privacy risk in an anonymized heterogeneous information …
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Federated Query Processing for the Semantic Web
… such governments, life science researchers or geographical institutes. RDF data generation is mainly done by converting already existing legacy data resources into RDF (e.g. converting data stored in relational databases into RDF), but also by creating that RDF data directly (e.g. sensors). These …
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Diffusion, Infection and Social (Information) Network Database
… with uncertainty, space, and time, and develop a graph index structure to retrieve graph patterns over the network efficiently. The fourth contribution develops epidemic models and ensembles to predict the number of malware infections in countries using past detection history. In our fifth …
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Adaptation of business rules in business workflow systems
… between business rules in the form of AND-OR graphs. The graphs are created through Event, Condition and Action (ECA) components of business rules. The business rule change propagation is implemented as an algorithm of graph traversal through the AND-OR graph patterns. A two-levels inference …
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Graph Analytics with Data Science Languages
… exploration mechanism in Big Data Analytics is graphs, which are flexible to represent any set of interconnected objects. Graph analytics is particularly challenging mainly due to large graph sizes and the structure of graphs. In this dissertation, we work on analyzing large graphs that cannot …
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A scalable analysis framework for large-scale RDF data
… for subsequent queries that contain the same graph patterns. The results demonstrate that this design can load data at least an order of magnitude faster than a clustered store operating in RAM while remaining within an interactive range for query processing and even outperforms current …
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Computational and Visual Analyses of Spatial Interactions: A Case Study of the County-to-County Migration In theUs
… contains three different data spaces: (1) the geographic space, such as locations of origins and destinations; (2) the graph/network space, such as flows/links between locations; and (3) the multivariate space, including variables for locations (e.g., unemployment rate, median income) and flows …