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Relevant bibliographies by topics / Data use metrics / Dissertations / Theses

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Dissertations / Theses on the topic 'Data use metrics'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Osorio, Bruno Manuel. "Characterizing the relationship between energy and urban form using data, scaling and combined metrics." Thesis, University of Bath, 2017. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.760915.

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A large proportion of energy demand comes from urban areas, mostly from buildings and transport, the use of which has impacts on climate and air quality through the emissions of greenhouse gases and other pollutants. To effectively mitigate these impacts, a better understanding of the relationship between energy and urban form variables is crucial. The link between energy and urban variables has been demonstrated before and it is recognised in many aspects of the cities, such as human behaviour and transport dynamics. This research goes forward by analysing the correlation and scaling between

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2

Horner, Nathaniel Charles. "Powering the Information Age: Metrics, Social Cost Optimization Strategies, and Indirect Effects Related to Data Center Energy Use." Research Showcase @ CMU, 2016. http://repository.cmu.edu/dissertations/696.

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This dissertation contains three studies examining aspects of energy use by data centers and other information and communication technology (ICT) infrastructure necessary to support the electronic services that now form such a pervasive aspect of daily life. The energy consumption of ICT in general and data centers in particular has been of growing interest to both industry and the public, with continued calls for increased efficiency and greater focus on environmental impacts. The first study examines the metrics used to assess data center energy performance and finds that power usage effecti

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3

Mulder, Susan. "An action research study on the use of Scrum to provide agility in data warehouse development." Diss., University of Pretoria, 2010. http://hdl.handle.net/2263/24561.

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Data warehousing is a new and emerging field. Projects tend to be complex and time consuming. Because of this complexity, teams tend to commit to more than they can deliver. This causes delayed delivery. Applying Agile development styles to data warehousing is one of the alternative methodologies that are being investigated to help teams to accelerate the delivery of business value. Scrum is one of the frameworks that falls within the Agile stream. Scrum focuses on project management and makes use of iterative and incremental development. It tries to deliver the smallest piece of business valu

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4

Nielsen, Niels Christian. "Spatial metrics of structure and diversity : calculation from Earth observation and map data, for use as indicators in environmental management." Thesis, Lancaster University, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.421848.

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5

Ngaye, Zonke. "User experience metrics for Dr Math." Thesis, Nelson Mandela Metropolitan University, 2012. http://hdl.handle.net/10948/d1012036.

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The purpose of this research study is to propose guidelines for providing a positive user experience for pupils using Dr Math®. User experience was found to have a positive impact on the acceptance and adoption of a product. Thus the proposed guidelines contribute in maximizing the adoption and acceptance of Dr Math® among pupils. This study begins with an introductory chapter that describes the problem that forms the basis for this research. The chapter defines the objectives that this study is intended to achieve in order to accomplish its ultimate goal. The methodology followed to conduct t

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6

Morrison, Ronald. "Evaluating the Effectiveness of Certain Metrics in Measuring the Quality of End User Documentation." PDXScholar, 1993. https://pdxscholar.library.pdx.edu/open_access_etds/1326.

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Traditional methods of evaluating quality in computer end user documentation have been subjective in nature, and have not been widely used in practice. Attempts to quantify quality and more narrowly define the essential features of quality have been limited -- leaving the issue of quality largely up to the writer of the user manual. Quantifiable measures from the literature, especially Velotta (1992) and Brockman (1990), have been assembled into a set of uniformly weighted metrics for the measurement of document quality. This measure has been applied to the end user documentation of eighty-two

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7

Atterlönn, Anton, and Benjamin Hedberg. "GUI Performance Metrics Framework : Monitoring performance of web clients to improve user experience." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-247940.

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When using graphical user interfaces (GUIs), the main problems that frustrates users are long response times and delays. These problems create a bad impression of the GUI, as well as of the company that created it.When providing a GUI to users it is important to provide intuition, ease of use and simplicity while still delivering good performance. However, some factors that play a major role regarding the performance aspect is outside the developers’ hands, namely the client’s internet connection and hardware. Since every client has a different combination of internet connection and hardware,

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8

Alahmadi, Tahani J. "A Multi-method Evaluation of Website Accessibility: Foregrounding User-centred Design, Data Mining and Using a Quantitative Metric." Thesis, Griffith University, 2019. http://hdl.handle.net/10072/389683.

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Accessibility evaluation is an important equity-oriented step in assessing the effectiveness and usefulness of online learning materials for users with disabilities. The popular uptake of blended and online learning warrants an assessment of the accessibility of university web-based systems. Previous studies indicated that such systems have become gradually inaccessible as the complexity of their content increases, yet higher education institutions continue to pay minimal attention to this issue. Administrators of university websites and companies that develop learning management systems usual

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9

Järpehult, Oscar, and Martin Lindblom. "Longitudinal measurements of link usage on Twitter." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-159331.

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As Twitter launched with their unique way of limiting posts to only 140 characters the usage of link shorteners was brought forth. This was the only way to fit long URLs in tweets until Twitter solved this by providing their own integrated link shortener. This study investigates how links are used on Twitter. The study include both care fulldata collection including multiple APIs and analysis of the collected data providing new insight into this topic. It was found that a small set of internet domains account for a large part of the links found in posted tweets. This set of top occurring domai

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10

KNOBEL, KARIN, and LOVISA LÆSTADIUS. "Big Data in Performance Measurement: : Towards a Framework for Performance Measurement in a Digital and Dynamic Business Climate." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-238689.

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In today’s business climate permeated by Big Data, an opportunity to drive performance lies in analysing consumer behaviour from user data. In particular for online content providers, user data is available in abundance and logged continuously. This leads to new possibilities for design and usage of metrics, as businesses can benefit from smart and timely decision-making. However, in order to profit from user data in performance measurement (PM), it is critical to identify metrics that truly guide decisions. Thus, an effective and efficient PM process is imperative. Despite its promise, Big Da

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11

Qamar, Ali Mustafa. "Mesures de similarité et cosinus généralisé : une approche d'apprentissage supervisé fondée sur les k plus proches voisins." Phd thesis, Grenoble, 2010. http://www.theses.fr/2010GRENM083.

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Les performances des algorithmes d'apprentissage automatique dépendent de la métrique utilisée pour comparer deux objets, et beaucoup de travaux ont montré qu'il était préférable d'apprendre une métrique à partir des données plutôt que se reposer sur une métrique simple fondée sur la matrice identité. Ces résultats ont fourni la base au domaine maintenant qualifié d'apprentissage de métrique. Toutefois, dans ce domaine, la très grande majorité des développements concerne l'apprentissage de distances. Toutefois, dans certaines situations, il est préférable d'utiliser des similarités (par exempl

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12

Wonjiga, Amir Teshome. "User-centric security monitoring in cloud environments." Thesis, Rennes 1, 2019. http://www.theses.fr/2019REN1S080.

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Les fournisseurs de services reconnaissent le problème de confiance et fournissent une garantie par le biais d'un contrat appelé Service Level Agreement (SLA). Presque tous les SLAs existants ne traitent que des fonctionnalités du nuage informatique et ne garantissent donc pas l'aspect sécurité des services hébergés pour les locataires. Comme le nuage informatique continue d'être de plus en plus intégré, il est nécessaire d'avoir des services de supervision de la sécurité propres a l'utilisateur, qui sont fondés sur les exigences des locataires. Cet aspect de supervision de la sécurité du syst

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13

Uttam, Kumar *. "Algorithms For Geospatial Analysis Using Multi-Resolution Remote Sensing Data." Thesis, 2012. https://etd.iisc.ac.in/handle/2005/2280.

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Geospatial analysis involves application of statistical methods, algorithms and information retrieval techniques to geospatial data. It incorporates time into spatial databases and facilitates investigation of land cover (LC) dynamics through data, model, and analytics. LC dynamics induced by human and natural processes play a major role in global as well as regional scale patterns, which in turn influence weather and climate. Hence, understanding LC dynamics at the local / regional as well as at global levels is essential to evolve appropriate management strategies to mitigate the impacts of

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14

Uttam, Kumar *. "Algorithms For Geospatial Analysis Using Multi-Resolution Remote Sensing Data." Thesis, 2012. http://etd.iisc.ernet.in/handle/2005/2280.

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Geospatial analysis involves application of statistical methods, algorithms and information retrieval techniques to geospatial data. It incorporates time into spatial databases and facilitates investigation of land cover (LC) dynamics through data, model, and analytics. LC dynamics induced by human and natural processes play a major role in global as well as regional scale patterns, which in turn influence weather and climate. Hence, understanding LC dynamics at the local / regional as well as at global levels is essential to evolve appropriate management strategies to mitigate the impacts of

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15

Chan, BRIAN. "Techniques and Tools for Mining Pre-Deployment Testing Data." Thesis, 2009. http://hdl.handle.net/1974/5162.

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Pre-deployment field testing in is the process of testing software to uncover unforeseen problems before it is released in the market. It is commonly conducted by recruiting users to experiment with the software in as natural setting as possible. Information regarding the software is then sent to the developers as logs. Log data helps developers fix bugs and better understand the user behaviors so they can refine functionality to user needs. More importantly, logs contain specific problems as well as call traces that can be used by developers to trace its origins. However, developers focu

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16

Heshmat, Dehkordi Yasamin. "Incorporating User Reviews as Implicit Feedback for Improving Recommender Systems." Thesis, 2014. http://hdl.handle.net/1828/5605.

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Recommendation systems have become extremely common in recent years due to the ubiquity of information across various applications. Online entertainment (e.g., Netflix), E-commerce (e.g., Amazon, Ebay) and publishing services such as Google News are all examples of services which use recommender systems. Recommendation systems are rapidly evolving in these years, but these methods have fallen short in coping with several emerging trends such as likes or votes on reviews. In this work we have proposed a new method based on collaborative filtering by considering other users' feedback on each

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