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Dissertations / Theses on the topic 'Data frameworks'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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1

Nyström, Simon, and Joakim Lönnegren. "Processing data sources with big data frameworks." Thesis, KTH, Data- och elektroteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-188204.

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Big data is a concept that is expanding rapidly. As more and more data is generatedand garnered, there is an increasing need for efficient solutions that can be utilized to process all this data in attempts to gain value from it. The purpose of this thesis is to find an efficient way to quickly process a large number of relatively small files. More specifically, the purpose is to test two frameworks that can be used for processing big data. The frameworks that are tested against each other are Apache NiFi and Apache Storm. A method is devised in order to, firstly, construct a data flow and sec

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Venumuddala, Ramu Reddy. "Distributed Frameworks Towards Building an Open Data Architecture." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc801911/.

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Data is everywhere. The current Technological advancements in Digital, Social media and the ease at which the availability of different application services to interact with variety of systems are causing to generate tremendous volumes of data. Due to such varied services, Data format is now not restricted to only structure type like text but can generate unstructured content like social media data, videos and images etc. The generated Data is of no use unless been stored and analyzed to derive some Value. Traditional Database systems comes with limitations on the type of data format schema, a

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Nambiar, Arun N. "Data Exchange in Multi-Disciplinary Design Optimization frameworks." Ohio University / OhioLINK, 2004. http://www.ohiolink.edu/etd/view.cgi?ohiou1088189791.

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Randhawa, Tarlochan Singh. "Incorporating Data Governance Frameworks in the Financial Industry." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/6478.

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Data governance frameworks are critical to reducing operational costs and risks in the financial industry. Corporate data managers face challenges when implementing data governance frameworks. The purpose of this multiple case study was to explore the strategies that successful corporate data managers in some banks in the United States used to implement data governance frameworks to reduce operational costs and risks. The participants were 7 corporate data managers from 3 banks in North Carolina and New York. Servant leadership theory provided the conceptual framework for the study. Methodolog

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Edling, Erik, and Emil Östergren. "An analysis of microservice frameworks." Thesis, Linköpings universitet, Interaktiva och kognitiva system, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138034.

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Microservice architecture has entered the industry to solve some of the problems with the monolithic architecture. However, this architecture comes with its own set of problems. In order to solve the microservice architecture problems while also providing additional functionalities, microservice frameworks have been developed. In this thesis, microservice frameworks were compared and thereafter two were chosen to implement a small part of a large monolithic system as microservices. This was done in order to see how well they could implement the different functionalities that the frameworks pro

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Bao, Shunxing. "Algorithmic Enhancements to Data Colocation Grid Frameworks for Big Data Medical Image Processing." Thesis, Vanderbilt University, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13877282.

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<p> Large-scale medical imaging studies to date have predominantly leveraged in-house, laboratory-based or traditional grid computing resources for their computing needs, where the applications often use hierarchical data structures (e.g., Network file system file stores) or databases (e.g., COINS, XNAT) for storage and retrieval. The resulting performance for laboratory-based approaches reveal that performance is impeded by standard network switches since typical processing can saturate network bandwidth during transfer from storage to processing nodes for even moderate-sized studies. On the

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Price, Simon. "Higher-order frameworks for profiling and matching heterogeneous data." Thesis, University of Bristol, 2014. http://hdl.handle.net/1983/841f5b9b-c15f-4bb0-ba0d-e9edc752be55.

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This Thesis brings together complementary research from higher-order computational logic and workflow systems to investigate software and theoretical frameworks for profiling and matching heterogeneous data. One motivating use case is submission sifting, which matches submitted conference or journal papers to potential peer reviewers based on the similarity between the paper's abstract and the reviewer's publications as found in online bibliographic databases. Inspired by e-Science workflows, we introduce the SubSift submission sifting framework for developing web-based research intelligence a

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Kokkonda, Vijay, and Krishna Sandeep Taduri. "Managing Data Location in Cloud Computing (Evaluating Data localization frameworks in Amazon Web Services)." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2685.

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Context: Cloud Computing is an emerging technology where present IT is trending towards it. Many enterprises and users are still uncomfortable to adopt Cloud Computing as it uncovers many potential and critical threats which remind the most concerned security issue to consider. As data is migrated between different data centers dispersed globally, security for data is a very important issue. In Cloud environment Cloud user should be aware of the physical location of the data to ensure whether their data reside within certain jurisdiction as there are different data privacy laws. Evaluating dif

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Baalbaki, Hussein. "Designing Big Data Frameworks for Quality-of-Data Controlling in Large-Scale Knowledge Graphs." Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS697.

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Les Knowledge Graphs (KG) sont la représentation la plus utilisée d'informations structurées sur un domaine particulier, composée de milliards de faits sous la forme d'entités (nœuds) et de relations (bords) entre eux. De plus, les informations de type sémantique des entités sont également contenues dans les KG. Le nombre de KG n'a cessé d'augmenter au cours des 20 dernières années dans divers domaines, notamment le gouvernement, la recherche universitaire, les domaines biomédicaux, etc. Les applications basées sur l'apprentissage automatique qui utilisent les KG incluent la liaison d'entités,

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10

Chen, Alexander Y. "Tools and frameworks for data abstraction in a performance context." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112835.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 109-111).<br>As data science is impacting more and more fields and proving to be effective in a wide variety of applications, the importance of easy-to-understand, high-performance data science tools is growing. Tools tend t

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Hore, Prodip. "Scalable frameworks and algorithms for cluster ensembles and clustering data streams." [Tampa, Fla.] : University of South Florida, 2007. http://purl.fcla.edu/usf/dc/et/SFE0002135.

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Krishnaswamy, Sriram. "On Computationally Efficient Frameworks For Data Association In Multi-Target Tracking." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1574672274983947.

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Minx, Jan Christoph. "Data frameworks in monetary, physical and time units for quantitative sustainable consumption research." Thesis, University of York, 2007. http://etheses.whiterose.ac.uk/11063/.

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The overriding aim of this thesis is to establish how integrated input-output data frameworks in monetary, physical and time units can contribute to a better understanding of the environmental pressures generated by a given final demand including the underlying economic, social and demographic driving forces. The thesis mainly focuses on environmental input-output analysis and related methods and evaluates the opportunities provided by recent data developments at the Federal Statistical Office. In particular, physical input-output tables and social accounting extensions published as part of th

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Amirkhanyan, Aragats [Verfasser], Meinel Akademischer Betreuer] Christoph, and Andreas [Akademischer Betreuer] [Polze. "Methods and frameworks for GeoSpatioTemporal data analytics / Aragats Amirkhanyan ; Meinel Christoph, Andreas Polze." Potsdam : Universität Potsdam, 2019. http://d-nb.info/1218405473/34.

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Laguduva, Rajaram Madhupreetha. "Comparative Analysis and Implementation of High Data Rate Wireless Sensor Network Simulation Frameworks." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc822834/.

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This thesis focuses on developing a high data rate wireless sensor network framework that could be integrated with hardware prototypes to monitor structural health of buildings. In order to better understand the wireless sensor network architecture and its consideration in structural health monitoring, a detailed literature review on wireless sensor networks has been carried out. Through research, it was found that there are numerous simulation software packages available for wireless sensor network simulation. One suitable software was selected for modelling the framework. Research showed tha

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Amirkhanyan, Aragats [Verfasser], Meinel [Akademischer Betreuer] Christoph, and Andreas [Akademischer Betreuer] Polze. "Methods and frameworks for GeoSpatioTemporal data analytics / Aragats Amirkhanyan ; Meinel Christoph, Andreas Polze." Potsdam : Universität Potsdam, 2019. http://d-nb.info/1218405473/34.

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Fang, Chunsheng. "Novel Frameworks for Mining Heterogeneous and Dynamic Networks." University of Cincinnati / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1321369978.

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Ramírez, Calderón Nicolás. "MOBILE PAYMENTS REGULATIONS : A comparative study between regulatory frameworks for Mobile Payments." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177161.

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The increasing growth of mobile devices penetration has provoked the rise of the mobile payments industry. With many years in the market and with a constant evolution in both its technology and transactions volume, numerous implementations have entered the market around the world. It has demonstrated potential and innovation for services offered, business models, and delivery schemas. All these positive aspects bring new challenges for the industry and in particular for regulators. Mobile payments are emerging in the intersection of financial regulation, telecommunications regulation, and othe

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Cederlund, Mattias. "Performance of frameworks for declarative data fetching : An evaluation of Falcor and Relay+GraphQL." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-196058.

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With the rise of mobile devices claiming a greater and greater portion of internet traffic, optimizing performance of data fetching becomes more important. A common technique of communicating between subsystems of online applications is through web services using the REpresentational State Transfer (REST) architectural style. However, REST is imposing restrictions in flexibility when creating APIs that are potentially introducing suboptimal performance and implementation difficulties. One proposed solution for increasing efficiency in data fetching is through the use of frameworks for declarat

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Panuganti, Rajkiran. "A High Productivity Framework for Parallel Data Intensive Computing in MATLAB." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1238138255.

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Lemon, Alexander Michael. "A Shared-Memory Coupled Architecture to Leverage Big Data Frameworks in Prototyping and In-Situ Analytics for Data Intensive Scientific Workflows." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/7545.

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There is a pressing need for creative new data analysis methods whichcan sift through scientific simulation data and produce meaningfulresults. The types of analyses and the amount of data handled by currentmethods are still quite restricted, and new methods could providescientists with a large productivity boost. New methods could be simpleto develop in big data processing systems such as Apache Spark, which isdesigned to process many input files in parallel while treating themlogically as one large dataset. This distributed model, combined withthe large number of analysis libraries created f

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Chavez, Daniel. "Parallelizing Map Projection of Raster Data on Multi-core CPU and GPU Parallel Programming Frameworks." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-190883.

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Map projections lie at the core of geographic information systems and numerous projections are used today. The reprojection between different map projections is recurring in a geographic information system and it can be parallelized with multi-core CPUs and GPUs. This thesis implements a parallel analytic reprojection algorithm of raster data in C/C++ with the parallel programming frameworks Pthreads, C++11 STL threads, OpenMP, Intel TBB, CUDA and OpenCL. The thesis compares the execution times from the different implementations on small, medium and large raster data sets, where OpenMP had the

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van, Rijswijk David G. "An Automated Script to Acquire Gas Uptake Data from Molecular Simulation of Metal Organic Frameworks." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/22728.

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Attention worldwide has been placed towards reducing the global carbon footprint. To this end the scientific community has been involved in improving many of the available methods of carbon capture and storage (CCS). CCS involves scrubbing flue gases of greenhouse gases and safely storing them deep underground. MOFs, a family of functionally tunable three dimensional nanoporous frameworks, have been shown to adsorb gases with great selectivity and capacity. Investigating these frameworks using computational simulations, although faster than in-lab synthetic methods, involves a tedious and meti

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Bachtrögler, Julia, Harald Badinger, de Clairfontaine Aurélien Fichet, and Wolf Heinrich Reuter. "Summarizing Data using Partially Ordered Set Theory: An Application to Fiscal Frameworks in 97 Countries." WU Vienna University of Economics and Business, 2014. http://epub.wu.ac.at/4283/1/wp181.pdf.

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The widespread use of composite indices has often been motivated by their practicality to quantify qualitative data in an easy and intuitive way. At the same time, this approach has been challenged due to the subjective and partly ad hoc nature of computation, aggregation and weighting techniques as well as the handling of missing data. Partially ordered set (POSET) theory offers an alternative approach for summarizing qualitative data in terms of quantitative indices, which relies on a computation scheme that fully exploits the available information and does not require the subjective assignm

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Olsson, Niclas, and Nicklas Ockelberg. "Performance, Modularity and Usability, a Comparison of JavaScript Frameworks." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-272109.

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JavaScript frameworks have become a rapidly growing and changing industry which led to the process of choosing a suitable framework becoming increasingly difficult. This is what this project address, it takes three of the most popular frameworks and compare them concerning three aspects; performance, modularity and usability to determine the most suitable one for a modern single-page application. The purpose was to be able to give a well-founded recommendation on which framework would be most suited for a given project. To determine which framework is most suitable, three of the most popular f

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Subramaniam, Rajesh. "Exploring Frameworks for Rapid Visualization of Viral Proteins Common for a Given Host." Thesis, North Dakota State University, 2019. https://hdl.handle.net/10365/31716.

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Viruses are unique organisms that lack the protein machinery necessary for its propagation (like polymerase) yet possess other proteins that facilitate its propagation (like host cell anchoring proteins). This study explores seven different frameworks to assist rapid visualization of proteins that are common to viruses residing in a given host. The proposed frameworks rely only on protein sequence information. It was found that the sequence similarity-based framework with an associated profile hidden Markov model was a better tool to assist visualization of proteins common to a given host than

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Barata, André Montoia. "Governança de dados em organizações brasileiras: uma avaliação comparativa entre os benefícios previstos na literatura e os obtidos pelas organizações." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/100/100131/tde-28072015-215618/.

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A Governança de TI (GTI) tem um papel fundamental na realização do alinhamento da TI com o negócio das organizações, potencializando os processos de TI juntamente com os objetivos do negócio. Alinhar a TI ao negócio da organização é fundamental, porém é necessário também garantir o alinhamento da GTI com a Governança de Dados (GD). A GD é responsável pelo controle e gestão dos dados da organização, possibilitando a transformação de dados em informações para a tomada de decisões estratégicas. Possuir uma GTI alinhada a GD propicia um melhor desempenho para as organizações, que precisam de infor

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Kurt, Mehmet Can. "Fault-tolerant Programming Models and Computing Frameworks." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1437390499.

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Veiga, Allan Koch. "A conceptual framework on biodiversity data quality." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-17032017-085248/.

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The increasing availability of digitized biodiversity data worldwide, provided by an increasing number of sources, and the growing use of those data for a variety of purposes have raised concerns related to the \"fitness for use\" of such data and the impact of data quality (DQ) on outcomes of analyses, reports and decisions making. A consistent approach to assess and manage DQ is currently critical for biodiversity data users. However, achieving this goal has been particularly challenging because of the idiosyncrasies inherent to the concept of quality. DQ assessment and management cannot be

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Alabdulrahman, Rabaa. "Towards Personalized Recommendation Systems: Domain-Driven Machine Learning Techniques and Frameworks." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/41012.

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Recommendation systems have been widely utilized in e-commerce settings to aid users through their shopping experiences. The principal advantage of these systems is their ability to narrow down the purchase options in addition to marketing items to customers. However, a number of challenges remain, notably those related to obtaining a clearer understanding of users, their profiles, and their preferences in terms of purchased items. Specifically, recommender systems based on collaborative filtering recommend items that have been rated by other users with preferences similar to those of the targ

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Shao, Deo, and DEO SHAO. "A Proposal of a Mobile Health Data Collection and Reporting System for the Developing World." Thesis, Malmö högskola, Fakulteten för teknik och samhälle (TS), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20872.

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Data collection is one of the important components of public health systems. Decision makers, policy makers and health service providers need accurate and timely data in order to improve the quality of their services. The rapidly growing use of mobile technologies has increased pressure on the demand for mobile-based data collection solutions to bridge the information gaps in the health sector of the developing world. This study reviews existing health data collection systems and the available open source tools that can be used to improve these systems. We further propose a prototype using ope

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Satei, Mehdi. "OTT Video-Oriented Mobile Applications Development Using Cross-Platform UI Frameworks." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-256071.

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Google and Apple together are ruling the mobile phone industry with their operating systems, Android and iOS. Any mobile application willing to reach the vast majority of end-users, need to be run on both platforms. The issue, however, arises when considering that fact that developing an application for each platform requires different knowledge and code base. Cross-platform frameworks are emerged to overcome the mentioned issue by providing the possibility to develop a mobile application which works on multiple platforms with potentially a single code base.To investigate the capabilities of c

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Sychra, Tomáš. "Zobrazení 3D scény ve webovém prohlížeči." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-412882.

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This thesis discusses possibilities of accelerated 3D scene displaying in a Web browser. In more detail, it deals with WebGL standard and its use in real applications. An application for visualization of volumetric medical data based on JavaScript, WebGL and Three.js library was designed and implemented. Image data are loaded from Google Drive cloud storage. An important part of the application is 3D visualization of the volumetric data based on volume rendering technique called Ray-casting.

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Emerson, Daniel. "A data mining driven crash risk profiling method for road asset management." Thesis, Queensland University of Technology, 2013. https://eprints.qut.edu.au/61863/1/Daniel_Emerson_Thesis.pdf.

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This thesis takes a new data mining approach for analyzing road/crash data by developing models for the whole road network and generating a crash risk profile. Roads with an elevated crash risk due to road surface friction deficit are identified. The regression tree model, predicting road segment crash rate, is applied in a novel deployment coined regression tree extrapolation that produces a skid resistance/crash rate curve. Using extrapolation allows the method to be applied across the network and cope with the high proportion of missing road surface friction values. This risk profiling

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Cotterill, Ellese. "Statistical analysis of neuronal data : development of quantitative frameworks and application to microelectrode array analysis and cell type classification." Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/267741.

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With increasing amounts of data being collected in various fields of neuroscience, there is a growing need for robust techniques for the analysis of this information. This thesis focuses on the evaluation and development of quantitative frameworks for the analysis and classification of neuronal data from a variety of contexts. Firstly, I investigate methods for analysing spontaneous neuronal network activity recorded on microelectrode arrays (MEAs). I perform an unbiased evaluation of the existing techniques for detecting ‘bursts’ of neuronal activity in these types of recordings, and provide

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Abbasi, Mohammad Hasan. "Data services: bringing I/O processing to petascale." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42694.

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The increasing size of high performance computing systems and the associated increase in the volume of generated data, has resulted in an I/O bottleneck for these applications. This bottleneck is further exacerbated by the imbalance in the growth of processing capability compared to storage capability, due mainly to the power and cost requirements of scaling the storage. This thesis introduces data services, a new abstraction which provides significant benefits for data intensive applications. Data services combine low overhead data movement with flexible placement of data manipulation operati

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Carvalho, Rafael Aquino de. "Uma análise comparativa de ambientes para Big Data: Apche Spark e HPAT." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-15062018-110116/.

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Este trabalho compara o desempenho e a estabilidade de dois arcabouços para o processamento de Big Data: Apache Spark e High Performance Analytics Toolkit (HPAT). A comparação foi realizada usando duas aplicações: soma dos elementos de um vetor unidimensional e o algoritmo de clusterização K-means. Os experimentos foram realizados em ambiente distribuído e com memória compartilhada com diferentes quantidades e configurações de máquinas virtuais. Analisando os resultados foi possível concluir que o HPAT tem um melhor desempenho em relação ao Apache Spark nos nossos casos de estudo. Também reali

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Gao, Xiaoxu. "Exploring declarative rule-based probabilistic frameworks for link prediction in Knowledge Graphs." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210650.

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En kunskapsgraf lagrar information från webben i form av relationer mellan olika entiteter. En kunskapsgrafs kvalité bestäms av hur komplett den är och dess noggrannhet. Dessvärre har många nuvarande kunskapsgrafer brister i form av saknad fakta och inkorrekt information. Nuvarande lösningar av länkförutsägelser mellan entiteter har problem med skalbarhet och hög arbetskostnad. Denna uppsats föreslår ett deklarativt regelbaserat probabilistiskt ramverk för att utföra länkförutsägelse. Systemet involverar en regelutvinnande modell till ett “hinge-loss Markov random fields” för att föreslå länka

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Soares, Sandro Neves. "Sistema gerenciador de documentação de projeto." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 1996. http://hdl.handle.net/10183/24106.

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A complexidade do projeto de sistemas eletrônicos, devido ao número de ferramentas envolvidas, ao grande volume de dados gerado e a natureza complicada destes dados, foi a causa principal do aparecimento, no final da década de 80, dos frameworks. Frameworks são plataformas que suportam o desenvolvimento de ambientes de projeto e que tem, como objetivo principal, liberar os projetistas das tarefas acessórias dentro do processo de projeto (como, por exemplo, a gerencia dos dados criados), possibilitando-lhes direcionar os esforços, exclusivamente, para a obtenção de melhores resultados, em menor

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Rehbinder, Adam. "On Applying a Method for Developing Context Dependent CASE-tool Evaluation Frameworks." Thesis, University of Skövde, Department of Computer Science, 2000. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-489.

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<p>This dissertation concerns the application of a method for developing context dependent CASE-tool evaluation frameworks. Evaluation of CASE-tools prior to adoption is an important but complex issue; there are a number of reports in the literature of the unsuccessful adoption of CASE-tools. The reason for this is that the tools have often failed in meeting contextual expectations. The genuine interest and willingness among organisational stakeholder to participate in the study indicate that evaluation of CASE-tools is indeed a relevant problem, for which method support is scarce.</p><p>To ov

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Nimgaonkar, Satyajeet. "Secure and Energy Efficient Execution Frameworks Using Virtualization and Light-weight Cryptographic Components." Thesis, University of North Texas, 2014. https://digital.library.unt.edu/ark:/67531/metadc699986/.

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Security is a primary concern in this era of pervasive computing. Hardware based security mechanisms facilitate the construction of trustworthy secure systems; however, existing hardware security approaches require modifications to the micro-architecture of the processor and such changes are extremely time consuming and expensive to test and implement. Additionally, they incorporate cryptographic security mechanisms that are computationally intensive and account for excessive energy consumption, which significantly degrades the performance of the system. In this dissertation, I explore the dom

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Huber, Manuel [Verfasser], Claudia [Akademischer Betreuer] Eckert, Claudia [Gutachter] Eckert, and Georg [Gutachter] Sigl. "System Architectures for Data Confidentiality and Frameworks for Main Memory Extraction / Manuel Huber ; Gutachter: Claudia Eckert, Georg Sigl ; Betreuer: Claudia Eckert." München : Universitätsbibliothek der TU München, 2019. http://d-nb.info/1203299966/34.

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Sharma, Sagar. "Towards Data and Model Confidentiality in Outsourced Machine Learning." Wright State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1567529092809275.

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Garg, Anushka. "Comparing Machine Learning Algorithms and Feature Selection Techniques to Predict Undesired Behavior in Business Processesand Study of Auto ML Frameworks." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-285559.

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In recent years, the scope of Machine Learning algorithms and its techniques are taking up a notch in every industry (for example, recommendation systems, user behavior analytics, financial applications and many more). In practice, they play an important role in utilizing the power of the vast data we currently generate on a daily basis in our digital world.In this study, we present a comprehensive comparison of different supervised Machine Learning algorithms and feature selection techniques to build a best predictive model as an output. Thus, this predictive model helps companies predict unw

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Awan, Ammar Ahmad. "Co-designing Communication Middleware and Deep Learning Frameworks for High-Performance DNN Training on HPC Systems." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1587433770960088.

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Ho, Quan. "Architecture and Applications of a Geovisual Analytics Framework." Doctoral thesis, Linköpings universitet, Medie- och Informationsteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-91679.

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The large and ever-increasing amounts of multi-dimensional, multivariate, multi-source, spatio-temporal data represent a major challenge for the future. The need to analyse and make decisions based on these data streams, often in time-critical situations, demands integrated, automatic and sophisticated interactive tools that aid the user to manage, process, visualize and interact with large data spaces. The rise of `Web 2.0', which is undisputedly linked with developments such as blogs, wikis and social networking, and the internet usage explosion in the last decade represent another challenge

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Rollings, Graham. "Using evolutionary algorithms to resolve 3-dimensional geometries encoded in indeterminate data-sets." Thesis, University of Exeter, 2011. http://hdl.handle.net/10036/4326.

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This thesis concerns the development of optimisation algorithms to determine the relative co-location, (localisation), of a number of freely-flying 'Smart Dust mote' sensor platform elements using a non-deterministic data-set derived from the duplex wireless transmissions between elements. Smart dust motes are miniaturised, microprocessor based, electronic sensor platforms, frequently used for a wide range of remote environmental monitoring applications; including specific climate synoptic observation research and more general meteorology. For the application proposed in this thesis a cluster

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Dåderman, Antonia, and Sara Rosander. "Evaluating Frameworks for Implementing Machine Learning in Signal Processing : A Comparative Study of CRISP-DM, SEMMA and KDD." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235408.

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Machine learning is when a computer can learn from data and draw its own conclusions without being explicitly programmed to do so. To implement machine learning effectively and correctly, it is important to have a structured framework to follow. Today, there exist several different frameworks but no framework is suited for all purposes of machine learning. This thesis evaluates three chosen frameworks CRISP-DM, SEMMA and KDD for the purpose of imple- menting machine learning in signal processing. This study was conducted at Saab AB in Ja¨rf¨alla. The specific problem area of signal processing

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Baktha, Kishore. "Evaluating the Performance and Capabilities of Popular Android Mobile Application Testing Automation Frameworks in Agile/ DevOps Environment." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281984.

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The number of mobile applications has increased tremendously over the last decade, thereby also having increased the importance of mobile application testing. Testing is a very crucial process in the development of a mobile application to ensure reliability and proper functionality. In an Agile/DevOps environment, test automation is an integral part in order to support the continuous integration and continuous delivery/deployment principle. There is a plethora of mobile application testing automation frameworks available in the market today. Android testing frameworks were chosen for this stud

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Kirchner, Peter. "Verteilte Autorisierung innerhalb von Single Sign-On-Umgebungen : Analyse, Architektur und Implementation eines Frameworks für verteilte Autorisierung in einer ADFS-Umgebung." Master's thesis, Universität Potsdam, 2007. http://opus.kobv.de/ubp/volltexte/2008/2228/.

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Aktuelle Softwaresysteme erlauben die verteilte Authentifizierung von Benutzern über Ver-zeichnisdienste, die sowohl im Intranet als auch im Extranet liegen und die über Domänen-grenzen hinweg die Kooperation mit Partnern ermöglichen. Der nächste Schritt ist es nun, die Autorisierung ebenfalls aus der lokalen Anwendung auszulagern und diese extern durchzu-führen – vorzugsweise unter dem Einfluss der Authentifizierungspartner. Basierend auf der Analyse des State-of-the-Art wird in dieser Arbeit ein Framework vorges-tellt, das die verteilte Autorisierung von ADFS (Active Directory Federation Ser

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