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 46 for “"data modelling"”.
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Some Aspects on Data Modelling
… are motivated by the desire of learning from data. Transaction dataset and time-ordered data sequence are commonly found in many research areas, such as finance, bioinformatics and text mining. In this dissertation, two problems regarding these two types of data: association rule mining from …
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Real-data modelling of transportation networks
… validation of the models is done by using real data from Boston and London for the bike sharing systems and the multi-modal public transportation networks respectively. We validate the Markov chain models that we developed for the bus network by using some data that we extracted from SUMO [69] …
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Efficient Data Modelling, Indexing and Processing in Large Datasets
… model, index, and process a huge amount of data. In this thesis, we study graphs and publish/subscribe systems. Firstly, we study the problem of continuously updating top-k messages with the highest ranks, each of which contains all the requested keywords when the rank of a message …
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Spatial-temporal data modelling and processing for personalised decision support
The purpose of this research is to undertake the modelling of dynamic data without losing any of the temporal relationships, and to be able to predict likelihood of outcome as far in advance of actual occurrence as possible. To this end a novel computational architecture for personalised ( …
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A study of conceptual data modelling in the era of big data: a case of Zambia.
The way data is collected and stored has evolved over time due to various developments which have led to advancements in database technologies. Few decades ago, only structured data were stored, however, with the increase in the business demand for data in this competitive global market, …
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A study of conceptual data modelling in the era of big data: a case of Zambia.
The way data is collected and stored has evolved over time due to various developments which have led to advancements in database technologies. Few decades ago, only structured data were stored, however, with the increase in the business demand for data in this competitive global market, …
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Improved personalised data modelling using parameter independent fuzzy weighted k-nearest neighbour for spatio/spectro-temporal data
… years. Researchers have come up with several data processing architectures, enabling machines to consume, interpret, and produce understandable output from real-world data to improve the quality of our lives. The NeuCube architecture is a data processing architecture for …
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Development of a Minimal Information Data - modelling approach for the monitoring of short and medium span bridges
… aims to develop a novel Minimal Information Data‐ modelling (MID) approach which can monitor the structural behaviour of short and medium span bridges. A significant number of bridges in many countries are approaching or have exceeded their design life. For this reason, structural health …
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Scattering of Seismic Waves from Arbitrary Viscoelastic-Isotropic and Anisotropic Structures with Applications to Data Modelling, FWI Sensitivities and Linearized AVO-AVAz Analysis
It is acknowledged that Full Waveform Inversion (FWI) techniques are sensitive to the set of model parameters that we choose for the minimization procedure. This model parametrization and sensitivity analysis for FWI has been extensively studied for acoustic and isotropic-elastic media. In order to …
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Process Safety Data Modelling for Human-in-the-loop Configurations in Process Control: Experimental results of alarm response procedure optimisation and a real-time support strategy
L'abstract è presente nell'allegato / the abstract is in the attachment
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Object-oriented software development in structural engineering
… These include management of complexity, data modelling, information hiding, software reusability, and software evolution. The purpose of this thesis is to give an overview of the object-oriented paradigm. This discussion includes a review of the necessary requirements of an …
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Design Foundations of Graph Databases
The property graph model and graph database management systems such as Neo4j have become increasingly popular. Naturally, questions around graph data modelling best practices arise. Graph databases are perceived as very intuitive and our research will provide evidence to showcase their benefits. …
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Characterizing growth conditions in chlorine-activated diamond chemical vapor deposition
… (CACVD) of thin diamond films. Numerical modelling at various levels of sophistication results in good trend and reasonable magnitude agreement between numerical and experimental data. Modelling suggests a low substrate temperature diamond growth mechanism by atomic carbon insertion …
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TactiForm : a touch sensitive actuated shape display as a dynamic interactive user interface for geospatial visual analytic systems
… and decision making by supporting intuitive data modelling, visualization, and analysis. In the oil and gas industry, these technologies are essential as they allow expert users to discover valuable insights and actionable information, even as the relevant information becomes increasingly …
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Non-linear dynamics identification using Gaussian process prior models within a Bayesian context.
… be a powerful non-parametric tool for stochastic data modelling. It employs the methodology of Bayesian inference in using evidence or data to modify or refer some prior belief. Within the Bayesian context, inference can be used for several purposes, such as data analysis, filtering, data mining, …
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A Geospatial and Machine Learning Framework for Forecasting Ground Level Ozone Pollution
… intelligence (AI) techniques to a variety of big data modelling problems, including GLO forecasting and estimation. Of these AI methods, deep neural networks (DNN) have demonstrated the highest accuracy due to their ability extract non-linear relationships from high dimensional, noisy data …
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Unified data management in collaborative IoT systems
Data has become a central focus for industries and businesses in delivering services. Furthermore, efficient collaboration solutions for IoT systems are increasingly needed to optimize IoT data usage across various domains. This work provides a comparative analysis between data models for handling …
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A composite framework for the strategic alignment of information systems development
… systems development techniques, such as data modelling, into strategic planning activities, neglecting techniques of strategic management. Examination of strategic management in this thesis, identifies parallel trends in strategic management and information systems development; the …
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