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.
Results
Showing 1 to 20 of 89 for “"Data modeling"”.
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Polymorphic Data Modeling
<p>There are currently no data modeling standards for modeling NoSQL document store databases. This work proposes a standard to fill the void. The proposed standard is based on our new data modeling pattern named <em>The Polymorphic Table</em> <em>Pattern</em>. The pattern embraces the “schemaless” …
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Object-oriented data modeling
… extent, the structure of a problem. Semantic data models describe structure and semantics. This thesis unifies the behavioral focus of the object-oriented paradigm with the structural and semantic focus of semantic data models. The approach contains expressive abstractions to model static and …
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Data modeling in a pavement management system
Data modeling is one of the critical steps in the software development process. The use of data becomes a profitable business today and the data itself is a valuable asset of the company. In this thesis, the process of developing a data model will be introduced in the first part. The second part …
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Spatial-Temporal Data Modeling with Graph Neural Networks
Spatial-temporal graph modeling is an important task to analyze the spatial relations and temporal trends of components in a system. It aims to model the dynamic node-level inputs by assuming inter-dependency between connected nodes. A basic assumption behind spatial-temporal graph modeling is that …
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On Compositional Data Modeling and Its Biomedical Applications
Compositional data occur naturally in biomedical studies which investigate changes in the proportions of various components of a combined medical measurement. The statistical method to analyze this type of data is underdeveloped. Currently the multivariate logitnormal model seems to be the only …
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Geospatial Data Modeling to Support Energy Pipeline Integrity Management
… need to measure and indicate useful, actionable data for each region of interest, and operators often use computer-based decision support systems (DSS) to analyze and allocate resources for active and potential hazards.</p> <p>We designed and implemented a geospatial data service, REST API for …
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Probability based approaches to process data modeling and rectifictaion
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 1996.
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Spatio-temporal data modeling with applications to weather and disease
Meteorological and epidemiological data are oftentimes collected over many years at various locations. In such cases, it is beneficial to use spatio-temporal modeling to account for trends and the correlation of nearby observations. This thesis explores applications to spatio-temporal modeling. …
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Implementation of a cross-platform automated Bayesian data modeling system
… the underlying structure of a high-dimensional dataset is a quintessential task in data science and multivariate statistics. The CrossCat model class provides an automated solution by using Bayesian Non-Parametric processes to identify dependencies within the data without any user input …
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Understanding BITCOIN Market Mechanics Using Feature Engineering, Data Modeling, and Forecasting Methods
… can utilize both structured (such as trading data) and unstructured data (such as social media posts) to anticipate the direction of Bitcoin's price movements and support decision-making, especially in unstable markets (e.g., the COVID-19 pandemic). The thesis represents a compendium of …
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Improvements In Interferometric Data Modeling For The New Era Of Radio Cosmology
… increasingly realistic models of the raw data we collect from a radio telescope. This is important because at the end of the day extracting the cosmological signal from the data will be accomplished by achieving a level of understanding of all the possible alternative sources that might …
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A Maturity Model of Data Modeling in Self-Service Business Intelligence Software
… there is a lack of research focused on data modeling in SSBI. This research aims to fill that research gap and propose a maturity model for SSBI data modeling which is generalizeable between different software and applicable for users of all technical backgrounds. Through extensive …
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Developing a General Method for Analyzing Psychomotor Vigilance Task (PVT) Data: Modeling Sleep Inertia in Children
Some data analysis applications may violate the assumptions of standard (e.g., linear model) frameworks. In such cases, a common solution is to develop a more suitable system-specific model, and from it derive the statistical tools necessary to conduct the desired data analysis. In this thesis, we …
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Estimating the Discrepancy Between Computer Model Data and Field Data: Modeling Techniques for Deterministic and Stochastic Computer Simulators
… In many cases a researcher has access to data from a computer simulator and from a physical system. This research discusses Bayesian models that allow for the estimation of the discrepancy between the two data sources. We fit two models to data in the field of electrical engineering. Using …
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Machine learning analytics for predictive breeding
… by the quality of the phenotypic and genotypic data and by the use of appropriate analytic models in the training sets. This research focuses on the impact of data quality for ordinal traits. Ordinal scores of traits are typical for various types of stress tolerance and resistance. Established …
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Domain Modeling Theory and Practice
Everyday huge amount of data is being captured and stored. This can either be due to several social initiatives, technological advancement or by smart devices. This involves the release of data which differs in format, language, schema and standards from various types of user communities and …
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A new model for engineering transaction
… systems are getting more complex, engineering database systems, like CAD and CASE databases, which support concurrency control, access control, recovery, and versioning, are also on demand. Data modeling of engineering applications by using the object-oriented paradigm has been investigated in …
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Conceptual and application issues in the implementation of object-oriented GIS
… of object-oriented technology for spatial data modeling is becoming a significant trend in GIS. This research explores the concepts of Object-Oriented GIS (OOGIS) and illustrates its versatility in two case studies. OOGIS provides a feature-based, intuitive representation of real world …
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Data and Computation Modeling for Scientific Problem Solving Environments
This thesis investigates several issues in data and computation modeling for scientific problem solving environments (PSEs). A PSE is viewed as a software system that provides (i) a library of simulation components, (ii) experiment management, (iii) reasoning about simulations and data, and (iv) …
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A new small-signal model for current-mode control
… mode models are provided. Sampled-data modeling is applied to the current-mode cell which is common to all converters, and the important results obtained are simplified to give a powerful model for analysis and design. The new model explains all of the observed phenomena of …
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