Relevant bibliographies by topics / Data use metrics

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Data use metrics'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Data use metrics"

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Huebner, Alan, Jonathon R. Lever, Thomas W. Clark, et al. "Novel Use of Generalizability Theory to Optimize Countermovement Jump Data Collection." Sports 13, no. 3 (2025): 85. https://doi.org/10.3390/sports13030085.

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This study aimed to evaluate the reliability of countermovement jump (CMJ) performance metrics across five NCAA Division I varsity sports using Generalizability Theory (G-Theory). Three hundred male athletes from football, hockey, baseball, soccer, and lacrosse performed three or more CMJs on dual-force platforms. G-Theory was applied to identify variance components and determine reliability coefficients (Φ) for 14 key metrics. Metrics requiring more than three jumps to achieve Φ 0.80 were deemed unreliable. Metric reliability varied by sport and phase of movement. Metrics associated with the
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Normoyle, Aline, John Drake, Maxim Likhachev, and Alla Safonova. "Game-Based Data Capture for Player Metrics." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 8, no. 1 (2021): 44–50. http://dx.doi.org/10.1609/aiide.v8i1.12508.

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Player metrics are an invaluable resource for game designers and QA analysts who wish to understand players, monitor and improve game play, and test design hypotheses. Usually such metrics are collected in a straightforward manner by passively recording players; however, such an approach has several potential drawbacks. First, passive recording might fail to record metrics which correspond to an infrequent player behavior. Secondly, passive recording can be a costly, laborious, and memory intensive process, even with the aid of tools. In this paper, we explore the potential for an active appro
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Leung, Kelvin, Alexandre Cunha, A. W. Toga, and D. Stott Parker. "Developing Image Processing Meta-Algorithms with Data Mining of Multiple Metrics." Computational and Mathematical Methods in Medicine 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/383465.

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People often use multiple metrics in image processing, but here we take a novel approach of mining the values of batteries of metrics on image processing results. We present a case for extending image processing methods to incorporate automated mining of multiple image metric values. Here by a metric we mean any image similarity or distance measure, and in this paper we consider intensity-based and statistical image measures and focus on registration as an image processing problem. We show how it is possible to develop meta-algorithms that evaluate different image processing results with a num
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Bentley, Andrew. "Practical use of aggregator data quality metrics in a collection scenario." Biodiversity Information Science and Standards 2 (June 13, 2018): e25970. https://doi.org/10.3897/biss.2.25970.

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The recent incorporation of standardized data quality metrics into the GBIF, iDigBio, and ALA portal infrastructures enables data providers with useful information they can use to clean or augment Darwin Core data at the source based on these recommendations. Numerous taxonomic and geographic based metrics provide useful information on the quality of various Darwin Core fields in this realm, while also providing input on Darwin Core compliance for others. As a provider/data manager for the Biodiversity Institute, University of Kansas, and having spent some time evaluating their efficacy and re
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OLIINYK, VIACHESLAV, and VOLODYMYR LUKIN. "USE OF SIMILARITY METRICS IN ROBUST TIME DELAY ESTIMATION." Herald of Khmelnytskyi National University. Technical sciences 319, no. 2 (2023): 224–30. http://dx.doi.org/10.31891/2307-5732-2023-319-1-224-230.

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This paper addresses the task of time delay and direction of arrival estimation for a source of the wideband signal using two sensors with fixed displacement. The peculiarity of the task statement is that a limited time of signal observation is supposed and additive noise is assumed non-Gaussian with a heavy-tail distribution. This leads to a high probability of abnormal estimates for the conventional signal processing method based on cross-correlation. To decrease this probability, it is proposed to reformulate the task of cross-correlation processing to the task of similarity estimation betw
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Rindal, Ole M. "The Myriad of metrics in medical ultrasound imaging; Which should we use?" Journal of the Acoustical Society of America 152, no. 4 (2022): A183. http://dx.doi.org/10.1121/10.0015966.

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Software beamforming allows flexible adaptive beamformers with great popularity and exponential growth in the number of papers published. Software beamforming can be a blessing to the image quality since access to raw channel data allows algorithms that better exploit the data. However, software beamforming can also be considered a curse, since the flexibility leads to non-linear algorithms that invalidate the conventional metrics used to evaluate the image quality. A review of the contrast metrics used in ultrasound imaging shows no consensus on the metrics used in the research literature. Mu
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Bentley, Andrew. "Practical use of aggregator data quality metrics in a collection scenario." Biodiversity Information Science and Standards 2 (June 13, 2018): e25970. http://dx.doi.org/10.3897/biss.2.25970.

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The recent incorporation of standardized data quality metrics into the GBIF, iDigBio, and ALA portal infrastructures enables data providers with useful information they can use to clean or augment Darwin Core data at the source based on these recommendations. Numerous taxonomic and geographic based metrics provide useful information on the quality of various Darwin Core fields in this realm, while also providing input on Darwin Core compliance for others. As a provider/data manager for the Biodiversity Institute, University of Kansas, and having spent some time evaluating their efficacy and re
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El Emam, Khaled, Lucy Mosquera, Xi Fang, and Alaa El-Hussuna. "Utility Metrics for Evaluating Synthetic Health Data Generation Methods: Validation Study." JMIR Medical Informatics 10, no. 4 (2022): e35734. http://dx.doi.org/10.2196/35734.

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Background A regular task by developers and users of synthetic data generation (SDG) methods is to evaluate and compare the utility of these methods. Multiple utility metrics have been proposed and used to evaluate synthetic data. However, they have not been validated in general or for comparing SDG methods. Objective This study evaluates the ability of common utility metrics to rank SDG methods according to performance on a specific analytic workload. The workload of interest is the use of synthetic data for logistic regression prediction models, which is a very frequent workload in health re
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Dinesh, Thangaraju. "Standardized Enterprise Metrics: A Framework for Consistency and Efficiency through Federated Data Management." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 10, no. 5 (2022): 1–12. https://doi.org/10.5281/zenodo.15054637.

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In today's data-driven business landscape, organizations face the challenge of establishing a cohesive and consistent approach to measuring key performance indicators (KPIs) across the enterprise. This paper explores a framework for implementing standardized enterprise-level metrics through the use of unified data pipelines and a federated model of data domain ownership. Many organizations struggle with siloed data and fragmented reporting, leading to inconsistent metrics and a lack of a single source of truth. The proposed framework addresses this issue by establishing a centralized metrics c
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Pullan, Graham. "Making use of our data." Journal of the Global Power and Propulsion Society, May (May 25, 2021): 1–13. http://dx.doi.org/10.33737/jgpps/134645.

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Engineers are acquiring data at an ever-increasing rate: data from computational design studies; measurements data from manufacturing processes, development tests, and products in service; contemporary data and legacy data. In this paper, two recommendations are made to allow engineers to make better use of these expanding databases. First, we should build on the hierarchical nature of our data; we can navigate and filter the database using high level descriptors such as design specifications and performance metrics, and then request comparative plots of detailed data such as line, contour and
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Dissertations / Theses on the topic "Data use metrics"

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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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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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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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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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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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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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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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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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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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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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Books on the topic "Data use metrics"

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Foundation, Angerosa Research, and Society of National Association Publications., eds. E-publishing trends & metrics: Data and benchmarks on how associations use electronic communications. Angerosa Research Foundation ; in partnership with Society of National Association Publications, Stratton Publishing & Marketing Inc./Stratton Research, 2007.

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Foundation, Angerosa Research, and Society of National Association Publications., eds. E-publishing trends & metrics: Data and benchmarks on how associations use electronic communications. Angerosa Research Foundation ; in partnership with Society of National Association Publications, Stratton Publishing & Marketing Inc./Stratton Research, 2007.

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Foundation, Angerosa Research, and Society of National Association Publications., eds. E-publishing trends & metrics: Data and benchmarks on how associations use electronic communications. Angerosa Research Foundation ; in partnership with Society of National Association Publications, Stratton Publishing & Marketing Inc./Stratton Research, 2007.

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Foundation, Angerosa Research, and Society of National Association Publications., eds. E-publishing trends & metrics: Data and benchmarks on how associations use electronic communications. Angerosa Research Foundation ; in partnership with Society of National Association Publications, Stratton Publishing & Marketing Inc./Stratton Research, 2007.

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Foundation, Angerosa Research, and Society of National Association Publications., eds. E-publishing trends & metrics: Data and benchmarks on how associations use electronic communications. Angerosa Research Foundation ; in partnership with Society of National Association Publications, Stratton Publishing & Marketing Inc./Stratton Research, 2007.

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1968-, Kamal Eric Djira, ed. E-metrics for library and information professionals: How to use data for managing and evaluating electronic resource collections. Neal-Schuman Publishers, 2006.

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Cvetkov, Viktor. Basics of complexity theory. INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/2110856.

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The monograph reveals the basics of complexity theory and methods for assessing complexity. The concept of complexity consideration is based on the analysis of complexity as a common attribute in processes and systems. The monograph describes the main methods for assessing different types of complexity. The concept of considering complexity in this monograph is also based on the fact that complexity is a comparative characteristic. It is given on a relative scale of difficulty. Therefore, complexity must be defined on a relative scale of “simplicity-complexity.” This concept motivates the cons
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Data-driven HR: How to use analytics and metrics to drive performance. 2018.

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Marr, Bernard. Data-Driven HR: How to Use Analytics and Metrics to Drive Performance. Kogan Page, 2021.

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E-publishing trends & metrics: Data and benchmarks on how associations use electronic communications. Angerosa Research Foundation ; in partnership with Society of National Association Publications, Stratton Publishing & Marketing Inc./Stratton Research, 2007.

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Book chapters on the topic "Data use metrics"

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Yeboah-Boateng, Ezer Osei, and Stephane Nwolley. "Developing Use Cases for Big Data Analytics: Data Integration with Social Media Metrics." In Handbook on ICT in Developing Countries. River Publishers, 2022. http://dx.doi.org/10.1201/9781003346043-8.

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Camacho Olmedo, María Teresa, David García-Álvarez, Marta Gallardo, et al. "Validation of Land Use Cover Maps: A Guideline." In Land Use Cover Datasets and Validation Tools. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90998-7_3.

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AbstractThis chapter offers a general overview of the available tools and strategies for validating Land Use Cover (LUC) data—specifically LUC maps—and Land Use Cover Change Modelling (LUCCM) exercises. We give readers some guidelines according to the type of maps they want to validate: single LUC maps (Sect. 3), time series of LUC maps (Sect. 4) or the results of LUCCM exercises (Sect. 5). Despite the fact that some of the available methods are applicable to all these maps, each type of validation exercise has its own particularities which must be taken into account. Each section of this chap
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Molinero-Parejo, Ramón. "Geographically Weighted Methods to Validate Land Use Cover Maps." In Land Use Cover Datasets and Validation Tools. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90998-7_13.

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AbstractOne of the most commonly used techniques for validating Land Use Cover (LUC) maps are the accuracy assessment statistics derived from the cross-tabulation matrix. However, although these accuracy metrics are applied to spatial data, this does not mean that they produce spatial results. The overall, user’s and producer’s accuracy metrics provide global information for the entire area analysed, but shed no light on possible variations in accuracy at different points within this area, a shortcoming that has been widely criticized. To address this issue, a series of techniques have been de
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Peñaherrera, Fernando, and Katharina Szczepaniak. "Development and Application of Metrics for Evaluation of Cumulative Energy Efficiency for IT Devices in Data Centers." In Cascade Use in Technologies 2018. Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-57886-5_17.

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Mhlanga, David, and Mufaro Dzingirai. "The Use of Data and Metrics in the Global South an – Introduction." In Responsible Business and Sustainable Development. Routledge, 2024. http://dx.doi.org/10.4324/9781032712246-2.

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Christen, Ramón, Luca Mazzola, Alexander Denzler, and Edy Portmann. "Distance Metrics for Evaluating the Use of Exogenous Data in Load Forecasting." In Information Processing and Management of Uncertainty in Knowledge-Based Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08974-9_37.

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Mas, Jean-François, David García-Álvarez, Martin Paegelow, Roberto Domínguez-Vera, and Miguel Ángel Castillo-Santiago. "Metrics Based on a Cross-Tabulation Matrix to Validate Land Use Cover Maps." In Land Use Cover Datasets and Validation Tools. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90998-7_8.

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AbstractThe overlaying of two map layers is a standard GIS procedure. As we saw in the previous chapter, it enables us to compute the intersection between two feature classes and cross-tabulate either the area or the pixel count of the intersecting features depending on whether raster or vector data are being used. Cross-tabulation can be used to evaluate different topics depending on the nature of the input data. In this chapter, cross-tabulation is used to assess land cover changes, the spatial agreement between maps and map accuracy. In Sect. 1, Land use/cover changes (LUCC) are quantified
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Castillo-Santiago, Miguel Ángel, Edith Mondragón-Vázquez, and Roberto Domínguez-Vera. "Sample Data for Thematic Accuracy Assessment in QGIS." In Land Use Cover Datasets and Validation Tools. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90998-7_6.

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AbstractWe present an approach that is widely used in the field of remote sensing for the validation of single LUC maps. Unlike other chapters in this book, where maps are validated by comparison with other maps with better resolution and/or quality, this approach requires a ground sample dataset, i.e. a set of sites where LUC can be observed in the field or interpreted from high-resolution imagery. Map error is assessed using techniques based on statistical sampling. In general terms, in this approach, the accuracy of single LUC maps is assessed by comparing the thematic map against the refer
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Hassine, Soumaya Ben, and Delphine Clément. "Open Data Quality Dimensions and Metrics: State of the Art and Applied Use Cases." In Business Information Systems Workshops. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61146-0_25.

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Varoquaux, Gael, and Olivier Colliot. "Evaluating Machine Learning Models and Their Diagnostic Value." In Machine Learning for Brain Disorders. Springer US, 2012. http://dx.doi.org/10.1007/978-1-0716-3195-9_20.

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AbstractThis chapter describes model validation, a crucial part of machine learning whether it is to select the best model or to assess performance of a given model. We start by detailing the main performance metrics for different tasks (classification, regression), and how they may be interpreted, including in the face of class imbalance, varying prevalence, or asymmetric cost–benefit trade-offs. We then explain how to estimate these metrics in an unbiased manner using training, validation, and test sets. We describe cross-validation procedures—to use a larger part of the data for both traini
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Conference papers on the topic "Data use metrics"

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Newton-Young, Daniel, Mark White, and Peter Green. "Use of Machine Learning Techniques to Support Future Ship-Helicopter Operations Research; an Initial Investigation." In Vertical Flight Society 80th Annual Forum & Technology Display. The Vertical Flight Society, 2024. http://dx.doi.org/10.4050/f-0080-2024-1378.

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This paper reports on the initial implementation of Machine Learning (ML) for predicting the workload experienced by a pilot when performing a recovery to a naval ship. Pilots classify their workload for each landing by providing a subjective rating, which is used to determine the ship-helicopter operating limit (SHOL). Different workload metrics have been trialed to bridge the gap between pilot subjective ratings and objective flight data. With hundreds of different helicopter, ship and airwake parameters available to examine, ML provides an approach to understanding the complex interactions
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Price, Joshua, Sylvester Ashok, Ryan Armstrong, Kyle Collins, Dimitri Mavris, and Daniel Schrage. "Integrated Discrete-Event Simulation Environment for Analysis of Rotorcraft Reliability, Availability, and Maintainability." In Vertical Flight Society 73rd Annual Forum & Technology Display. The Vertical Flight Society, 2017. http://dx.doi.org/10.4050/f-0073-2017-12217.

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Operations and support cost constitutes nearly 70% of rotorcraft lifecycle cost. When considering new rotorcraft concepts and technology infusion for current concepts, quantitative performance evaluation is undertaken during conceptual design. However, the effect of design decisions on operations and support metrics are typically evaluated qualitatively. Since operation and support costs constitute an overwhelming majority of rotorcraft lifecycle cost, quantitative evaluation of these metrics is required to fully capture the design trade space. To this end, an integrated discrete-event simulat
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True, Julian, and Naimul Khan. "Novel Segmentation Metrics for Use in Augmented Reality Advertisement Integration." In 2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM). IEEE, 2019. http://dx.doi.org/10.1109/bigmm.2019.00023.

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Jeni, Laszlo A., Jeffrey F. Cohn, and Fernando De La Torre. "Facing Imbalanced Data--Recommendations for the Use of Performance Metrics." In 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII). IEEE, 2013. http://dx.doi.org/10.1109/acii.2013.47.

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Seymour, Mark J., and Magnus K. Herrlin. "Data Center Optimization Using Performance Metrics." In ASME 2015 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems collocated with the ASME 2015 13th International Conference on Nanochannels, Microchannels, and Minichannels. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/ipack2015-48400.

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Data centers are rapidly growing in size and number and consume an increasing and also significant proportion of energy production. Yet, their mission critical nature means they are constructed and operated at almost any cost. The data center industry is becoming more aware of the need to manage energy alongside managing capacity and availability. A vital element — and one that cannot be ignored — is how well cooling is delivered to IT equipment. Monitoring allows you to understand how well you are currently operating and whether you are within acceptable bounds. Meanwhile, simulation of the a
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Ginsberg, Jerry H., and Benjamin B. Wagner. "On the Use of Modal Parameters as Metrics for Condition-Based Monitoring of Rotating Machinery." In ASME Turbo Expo 2005: Power for Land, Sea, and Air. ASMEDC, 2005. http://dx.doi.org/10.1115/gt2005-68981.

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Deterioration of a rotordynamic system changes its modal properties. This paper initiates a study of the degree to which such changes can be detected by monitoring modal metrics obtained by a modern technique for experimental modal analysis (EMA). The eigenvalues and residues associated with a complex modal description of the frequency response are identified by processing response data derived from an analytical model. This model, which features an elastic shaft with attached rigid rotor and supported by hydrodynamic bearings, was previously used by Wagner and Ginsberg [Proc. of the 23rd Inte
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Curtis, R., and S. Scarfone. "XFace, an X tool for presenting multivariate data, and its use with software metrics." In Eleventh Annual International Phoenix Conference on Computers and Communication [1992 Conference Proceedings]. IEEE, 1992. http://dx.doi.org/10.1109/pccc.1992.200600.

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Griffin, Patrick. "Uncertainty Considerations that Impact the Use of Dosimetry Metrics in Modern Semiconductors." In Proposed for presentation at the 15th International Conference on Nuclear Data for Science and Technology (ND2022) held July 24-29, 2022 in Virtual, NM. US DOE, 2022. http://dx.doi.org/10.2172/2004148.

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Beck, Philip J., and Dennis Kovacs. "Earned Schedule and the Use of Schedule Execution Reporting Metrics." In 2018 12th International Pipeline Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/ipc2018-78067.

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The traditional approach of managing project performance is with the use of Earned Value Management. There is a recent trend towards the expansion of traditional Earned Value Management practices to include the concept of Earned Schedule. Whereas Earned Value provides insight as to how the project is trending in relation to the plan by assessing cost and schedule variances, Earned Schedule focuses on the time element of schedule performance throughout the project execution phase. Earned Value, although very effective at providing visibility to cost performance, is not as transparent when it co
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Ramesh, S. V. Teegavarapu. "Spatial Interpolation for Missing Precipitation Data: Use of Proximity Metrics, Nearest Neighbor Classifiers, and Clusters." In World Environmental And Water Resources Congress 2012. American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412312.394.

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Reports on the topic "Data use metrics"

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Hoffman, Ian, Megan Billingsley, Steven Schiller, Charles Goldman, and Elizabeth Stuart. Energy Efficiency Program Typology and Data Metrics: Enabling Multi-State Analyses Through the Use of Common Terminology. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1165198.

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Félez de Torres, Ignacio, Clara I. González Martínez, and Elena Triebskorn. The puzzle of forward-looking climate transition risk metrics. Banco de España, 2025. https://doi.org/10.53479/40325.

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With the effects of climate change becoming more evident every year, preventing and, ideally, reversing it is a pressing challenge. The Paris Agreement was a milestone in the fight against climate change, establishing a series of specific targets for 2050. The agreement sets out various goals, including to hold the increase in the global temperature to below 2°C above pre-industrial levels and to pursue efforts to limit the increase to 1.5°C. Assessing the world’s progress towards this goal requires forward-looking information on the transition to net-zero of countries, companies and the finan
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Go, Eugenia, Kentaro Nakajima, Yasuyuki Sawada, and Kiyoshi Taniguchi. On the Use of Satellite-Based Vehicle Flows Data to Assess Local Economic Activity: The Case of Philippine Cities. Asian Development Bank, 2022. http://dx.doi.org/10.22617/wps220079-2.

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Satellite image-derived vehicle counts were used to measure local economic activity following the opening of the new terminal at the Mactan-Cebu International Airport in the Philippines. Results reveal that the terminal’s opening has had positive impacts on Cebu’s local economy. A comparison of the vehicle count measure with luminosity-derived metrics suggests that the former is better at capturing seasonal and spatial variations in treatment effects, especially for beach tourism activities in Cebu.
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Schweiger, E., Dewane Mosher, Kirk Sherrill, Dana Witwicki, Linda Zeigenfuss, and Sonya Daw. Great Sand Dunes National Park and Preserve: Ungulate use and wetland condition in the ungulate management plan baseline period (2016–2019). National Park Service, 2025. https://doi.org/10.36967/2309023.

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This report presents baseline (2016–2019) results from Ungulate Management Plan (UMP) monitoring of sensitive and important wetlands at Great Sand Dunes National Park and Preserve (GRSA) by the Rocky Mountain Network. At GRSA’s request we also include several management recommendations in the Discussion. Wetlands harbor disproportionately high levels of biodiversity and support iconic species like elk (Cervus canadensis) and bison (Bison bison). We develop Ungulate Use Indices (UUIs) from dung, collar, and camera trap data to quantify elk and bison use of wetlands. We estimate Wetland Conditio
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Young, David, Brandan Scully, Sean McGill, Ashley Elkins, and Marin Kress. Ranking ports by vessel demand for depth. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/48019.

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The US Army Corps of Engineers (USACE) traditionally uses two metrics to evaluate the maintenance of coastal navigation projects: tonnage at the associated port (representing relative importance) and the controlling depth in the channel (representing operating condition). These are incorporated into a risk-based decision framework directing funds where channel conditions have deteriorated and the disrupted tonnage potential is the highest. However, these metrics fail to capture shipper demand for the maintained depth service provided by the USACE through dredging. Using automatic identificatio
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Newmark, Gregory L. Measurement and Prediction of Transit System Performance Using Probe Data Generated through DSRC and non-DSRC Technologies. Mineta Transportation Institute, 2024. http://dx.doi.org/10.31979/mti.2024.2008.

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This research explores the application of two different probe data standards to transit performance measurement. The first section chronicles the proposed and implemented transit uses of dedicated short-range communication (DSRC) technologies during the two decades between the standard’s emergence and its announced sunset. The research finds that, despite proposed applications across safety, operation, and information domains, DSRC never became embedded in transit operations. By contrast, the general transit feed specification (GTFS) standard with its real-time (RT) extension has been widely e
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Miller, Eliot. Measuring Biodiversity Using R: A Comparison Of Diversity In Primary And Secondary Tropical Forests. American Museum of Natural History, 2014. http://dx.doi.org/10.5531/cbc.ncep.0156.

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This exercise is both a lesson in tropical forest restoration and a data analysis of metrics of biodiversity using R. The exercise contains background information, including two powerpoint presentations, using real data from the Bilsa rainforest in Ecuador on tropical bird diversity, and a guided tutorial for the use of R to analyze biodiversity metrics. The module also includes the complete R script with instructional notations as well as all necessary data files. By completing this exercise, students will: 1) distinguish some ways in which biological diversity can be quantified, 2) manipulat
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Jackson, Samuel, Christina Saltus, Molly Reif, and Glenn Suir. During Nearshore Event Vegetation Gradation (DUNEVEG) : geospatial tools for automating remote vegetation extraction. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47649.

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Monitoring and modeling of coastal vegetation and ecosystems are major challenges, especially when considering environmental response to hazards, disturbances, and management activities. Remote sensing applications can provide alternatives and complementary approaches to the often costly and laborious field-based collection methods traditionally used for coastal ecosystem monitoring. New and improved sensors and data analysis techniques have become available, making remote sensing applications attractive for evaluation and potential use in monitoring coastal vegetation properties and ecosystem
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Harris, Aubrey, Jonathan AuBuchon, and Michael Porter. Comparing ecological models for assessing Rio Grande silvery minnow response to environmental flows. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48593.

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The proliferation of continuous streamflow monitoring and spatial data suitable for hydraulic modeling is increasing opportunities to use hydraulic habitat analysis to inform ecological models. However, species population and streamflow data exhibit high variability, making it challenging to identify hydrologic and hydraulic metrics that effectively correlate with ecological outcomes. Metric selection presents a challenge for informing environmental flow decisions and adaptive management of water infrastructure. This study applies models to characterize environmental flows with in-creasing mod
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Stumpf, Stacy, Laura Ploughe, Christopher Calvo, Laura Ploughe, Stacy Stumpf, and Christopher Calvo. Long-term trend in the aquatic macroinvertebrate community of the Mancos River at Mesa Verde National Park: Aquatic macroinvertebrate monitoring 2008-2019. National Park Service, 2024. http://dx.doi.org/10.36967/2306058.

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The Southern Colorado Plateau Inventory and Monitoring Network monitors status and long-term trends in the aquatic macroinvertebrate community and associated habitat in order to track changes in the ecological integrity of stream ecosystems. This report investigates changes in key aquatic macroinvertebrate community indices and physical habitat metrics collected from two long-term monitoring sites on the Mancos River in Mesa Verde National Park, Colorado. Results suggest that both monitoring sites have experienced periods of thermal and hydrologic stress. These stresses occur concurrently and
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