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 36 for “"hierarchical data"”.
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Complex latent variable modeling for multivariate hierarchical data
… context. With the increasing availability of hierarchical data, such as cross-national surveys, multilevel latent class analysis is becoming increasingly more applicable, and the utility of extending state-of-the-art methods increasingly greater. The first chapter, co-authored by Roberto Di …
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Prime Number-Based Hierarchical Data Labeling Scheme for Relational Databases
Hierarchical data structures are an important aspect of many computer science fields including data mining, terrain modeling, and image analysis. A good representation of such data accurately captures the parent-child and ancestor-descendent relationships between nodes. There exist a number of …
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A framework for evaluating semi-structured hierarchical data using language models
… question answering over semi-structured hierarchical data represented in markup languages. The conventional practice of linearising markup to plain text involves removing structural information that is integral to interpretation, and existing structure-aware approaches are often supported …
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An adaptive sensor network architecture for multi-scale communication
… distributed signal processing, and distributed data assimilation-require sensor data to be available at multiple resolutions, or allow fidelity to be traded-off for energy efficiency. In this thesis, I develop an adaptive cross-layered sensor network architecture that enables multi-scale …
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Construction of Piecewise Linear Wavelets.
… are becoming popular for modeling and analyzing data and for providing efficient means for hierarchical data decomposition of function spaces into mutually orthogonal wavelet spaces. Wavelet construction in more than one-dimensional setting is a very challenging and important research topic. In …
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An Object-oriented design for hierarchical B-spline surfaces
… free-form surface modelling based on the hierarchical overlay methodology of [Forsey88]. This work is motivated by the need to provide a space-efficient representation of tensor-product hierarchical spline surfaces, multiple offset method support, and general surface representation. This …
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MONITORING OF NORTH AMERICAN SNOW COVER AND ENSO EFFECTS
… every eight-day (MOD10C2) and monthly (MOD10CM) Hierarchical Data Format (HDF) products were used in this study. These both products were analyzed using MATLAB HDF import tool to measure SCAs and to create Climate Model Grid (CMG) maps. The largest SCA in individual month (21.16 M.Km2) and in …
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Real-time Visualization of Massive 3D Models on GPU Parallel Architectures
… such as mesh simplification algorithms with hierarchical data structures, suffer from the nature of sequential executions. As data complexity increases due to the fundamental advances in modeling and simulation technologies, 3D models become complex and require gigabytes in storage. …
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A Parallel Solution-Adaptive Method for Turbulent Non-Premixed Combusting Flows
… a more efficient manner. A flexible block-based hierarchical data structure is used to maintain the connectivity of the solution blocks in the multi-block mesh and to facilitate automatic solution-directed mesh adaptation according to physics-based refinement criteria. For calculations of …
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Statistical Analysis of Response Distribution for Dependent Data via Joint Quantile Regression
… not based upon a fully generative model of the data. In this dissertation, we address this difficulty for analyzing spatial point-referenced data and hierarchical data. Several models are introduced by generalizing the joint quantile regression model of Yang and Tokdar (2017) and characterizing …
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Large graph simplification, clustering and visualization
… Rooted hierarchy is commonly used to represent hierarchical data (e.g. file system, genealogy) and facilitate visualization of complex graphs. Large hierarchies are often very irregular with non-uniform node degrees, which makes them challenging to visualize using existing non-adaptive methods. …
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Distribution-independent hierarchical N-body methods
… and Greengard's methods depend on the same data structure, which we show is distribution-dependent. For the distribution that results in the smallest running time, we show that Greengard's algorithm is [omega](N log[superscript]2N) in two dimensions and [omega](N log[superscript]4N) in three …
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Incremental volume rendering using hierarchical compression
… on the thesis that efficient volume rendering of datasets, contained on the Internet, can be achieved on average personal workstations. We present a new algorithm here for efficient incremental rendering of volumetric datasets. The primary goal of this algorithm is to give average workstations the …
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A Probabilistic Classification Algorithm With Soft Classification Output
… guided spectral class rejection), a novel data reduction technique that can be used in conjunction with PIGSCR (parallel IGSCR), a noise removal method based on the maximum noise fraction (MNF), and a continuous version of IGSCR (CIGSCR) that outputs soft classifications. All of the above …
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Champs-Multizone and Virtual Building for Integrated Building Systems Design and Performance Evaluation
… representation of the physical building with a hierarchical data structure, containing both static data such as enclosure assemblies, internal layout, etc. and dynamic data such as occupant activity schedule, outdoor weather conditions, indoor environmental parameters, HVAC operation data and …
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Treemaps: Visualizing Hierarchical and Categorical Data
… are a graphical method for the visualization of hierarchical and categorical data sets. Treemap presentations of data shift mental workload from the cognitive to the perceptual systems, taking advantage of the human visual processing system to increase the bandwidth of the human-computer …
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Post-processing in Differential Privacy
In recent years, the prominence of data privacy concerns has surged alongside the unprecedented growth in large-scale data collection and analysis. Since its introduction in 2006, differential privacy has rapidly emerged as the gold standard for addressing these escalating privacy challenges in …
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A model of progress: the use of school data for improvement
… study was to investigate if student performance data would provide a model of progress for school improvement. It focused on student outcomes at the end of five years of their secondary education. The data was also used to evaluate the impact of a critical incident when the school was placed in …
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Attitudes Toward Immigrants and Immigration Policy in the United States: A Structural Approach
… Multilevel modeling is employed to analyze the hierarchical data structure. Results indicate social structure strongly predicts Americans' views of immigration policy, while shaping views of immigrants indirectly via its impact on social-psychological factors (perceived group threat and racism). …
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Software for site specific propagation prediction
… research. These libraries are utilized in the database module, user interface and graphics module and propagation prediction module of the software. Significant among the capabilities that these libraries provide are the ability to store and retrieve raster and vector data from the database, …
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