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 20 of 73 for “"relational data"”.
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Cylinders: A Relational Data Structure
Made available in DSpace on 2014-12-08T22:24:50Z (GMT). No. of bitstreams: 1 7021084.pdf: 2708459 bytes, checksum: ccc21de81414e7b035e26f563e201f31 (MD5) Previous issue date: 1970
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Probabilistic visual relational data extraction
Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2010-12-09T14:11:23Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Bui_Ngoc.pdf: 1994663 bytes, checksum: a969f6579139dd6ec1f1bdd59f45e8a2 (MD5)
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Discovering Heterogeneous Causal Effects in Relational Data
… networks are rich sources of human behavioral data. There is growing interest in deriving causal insights from such data which is inherently relational in nature. Causal inference in relational settings has to account for interference, where a unit's outcome may be influenced by the treatments …
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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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Statistical Methods for Biological and Relational Data
Methods for biological and relational data have pose challenges for statistical modeling. For biological data, gene expression data have high-dimensionality, and T-cell receptor (TCR) data under-sample receptor populations. For relational data, there are dependencies among the observations. This …
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Unified processing of natural language and relational data
… performing natural language tasks as part of a relational framework. Utilizing features of PostgreSQL as a relational database and its extensibility to allow for word embedding without leaving the relational database. This system can be extended to incorporate several natural language processing …
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ARDA : automatic relational data augmentation for machine learning
This thesis is motivated by two major trends in data science: easy access to tremendous amounts of unstructured data and the effectiveness of Machine Learning (ML) in data driven applications. As a result, there is a growing need to integrate ML models and data curation into a homogeneous system …
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Decibel : transactional branched versioning for relational data systems
As scientific endeavors and data analysis become increasingly collaborative, there is a need for data management systems that natively support the versioning or branching of datasets to enable concurrent analysis, cleaning, integration, manipulation, or curation of data across teams of individuals. …
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Expressions as Data in Relational Data Base Management Systems
… maintained and matched with the expected data. Conditional Expressions can be used to maintain user interests. This thesis focuses on the support for expression data type in relational database system, allowing storing of conditional expressions as .data. in columns of database tables and …
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A performance analysis of the relational data management system.
Thesis: B.S., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 1976
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Application of software quality metrics to a relational data base system
… software quality metrics on a medium size data base system. Three different versions of the data base system that evolved over a period of three years were analyzed in this study. A redesign of the data base system, while still in its design phase was also analyzed. The results indicate the …
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Finding functional groups of genes using pairwise relational data : methods and applications
… modules and how to improve a clustering as new data becomes available. As an alternative, there are methods based on thresholding the similarity values to obtain a graph; such a graph can be analyzed through (probabilistic) methods developed in the social sciences. However, thresholding the data …
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Visualization Schemas: A User Interface Extending Relational Data Schemas for Flexible, Multiple-View Visualization of Diverse Databases
… views allow users to rapidly explore complex data spaces and discover complex relationships. Most multiple-view visualizations are static with regard to the views that they provide and the coordinations that they support. Despite significant progress in the field of Information Visualization …
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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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Mapping relational databases to semantic web using domain-specific knowledge
… using suitable structural definitions ("data schema"), specific instances of them ("data") and their use ("access rights"), but also semantically using a logical model which allows formal interpretation and sound logical inferencing about the information ("knowledge"). Relational models …
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Tree model guided (TMG) enumeration as the basis for mining frequent patterns from XML documents
… of its importance and application in a number of data mining tasks, it has become the focus of many studies. A substantial amount of research has gone into the development of efficient algorithms for mining patterns from large structured or relational data. Compared with the fruitful achievements …
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Relational Computing Using HPC Resources: Services and Optimizations
… analysing and managing large volumes of data. Such massive datasets cannot be handled efficiently by using traditional standalone database management systems, owing to their limitation in the degree of computational efficiency and bandwidth to scale to large volumes of data. In this …
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Disaster Response System
… the Unified Process of software development, the relational data models, the decision tree technique, class design principles such as the MVC pattern.
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