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book (7)


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English (7)


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2022 (4)

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2019 (1)

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Book
In Situ Visualization for Computational Science
Authors: --- --- ---
ISBN: 9783030816278 Year: 2022 Publisher: Cham Springer International Publishing :Imprint: Springer


Book
In situ visualization for computational science
Authors: --- ---
ISBN: 3030816265 3030816273 Year: 2022 Publisher: Cham, Switzerland : Springer,


Book
When form becomes substance : power of gestures, diagrammatical intuition, and phenomenology of space
Authors: ---
ISBN: 3030831256 Year: 2022 Publisher: Cham, Switzerland : Birkhäuser,


Book
Data Visualisation with R : 111 Examples
Author:
ISBN: 3030284441 3030284433 Year: 2019 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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Abstract

This book introduces readers to the fundamentals of creating presentation graphics using R, based on 111 detailed and complete scripts. It shows how bar and column charts, population pyramids, Lorenz curves, box plots, scatter plots, time series, radial polygons, Gantt charts, heat maps, bump charts, mosaic and balloon charts, and a series of different thematic map types can be created using R’s Base Graphics System. Every example uses real data and includes step-by-step explanations of the figures and their programming. This second edition contains additional examples for cartograms, chord-diagrams and networks, and interactive visualizations with Javascript. The open source software R is an established standard and a powerful tool for various visualizing applications, integrating nearly all technologies relevant for data visualization. The basic software, enhanced by more than 14000 extension packs currently freely available, is intensively used by organizations including Google, Facebook and the CIA. The book serves as a comprehensive reference guide to a broad variety of applications in various fields. This book is intended for all kinds of R users, ranging from experts, for whom especially the example codes are particularly useful, to beginners, who will find the finished graphics most helpful in learning what R can actually deliver. Features and Benefits Offers a comprehensive introduction to creating presentation graphics with R Presents the complete code of 111 examples from various fields Includes step-by-step explanations of the programming of figures, based on real data.


Book
Biomedical visualisation.
Author:
ISBN: 3030611256 3030611248 Year: 2021 Publisher: Cham, Switzerland : Springer,

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Abstract

This edited book explores the use of technology to enable us to visualise the life sciences in a more meaningful and engaging way. It will enable those interested in visualisation techniques to gain a better understanding of the applications that can be used in visualisation, imaging and analysis, education, engagement and training. The reader will also be able to learn about the use of visualisation techniques and technologies for the historical and forensic settings. The reader will be able to explore the utilisation of technologies from a number of fields to enable an engaging and meaningful visual representation of the biomedical sciences. In this volume, there are chapters which examine forensic and historical visualisation techniques and digital reconstruction, ultrasound, virtual learning resources and patient utilised software and hardware. The use of HoloLens as a disruptive technology is discussed as well as historical items as a feature in a modern medical curriculum. It concludes with a fascinating chapter on pulse extraction from facial videos. All in all, this volume has something for everyone whether that is faculty, students, clinicians and forensic practitioners, patients, or simply having an interest in one or more of these areas.


Book
Topological methods in data analysis and visualization.
Author:
ISBN: 3030835006 3030834999 Year: 2021 Publisher: Cham, Switzerland : Springer,


Book
Test Data Engineering
Authors: ---
ISBN: 9789811699863 Year: 2022 Publisher: Singapore Springer Nature Singapore :Imprint: Springer

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Abstract

This is the first technical book that considers tests as public tools and examines how to engineer and process test data, extract the structure within the data to be visualized, and thereby make test results useful for students, teachers, and the society. The author does not differentiate test data analysis from data engineering and information visualization. This monograph introduces the following methods of engineering or processing test data, including the latest machine learning techniques: classical test theory (CTT), item response theory (IRT), latent class analysis (LCA), latent rank analysis (LRA), biclustering (co-clustering), and Bayesian network model (BNM). CTT and IRT are methods for analyzing test data and evaluating students’ abilities on a continuous scale. LCA and LRA assess examinees by classifying them into nominal and ordinal clusters, respectively, where the adequate number of clusters is estimated from the data. Biclustering classifies examinees into groups (latent clusters) while classifying items into fields (factors). Particularly, the infinite relational model discussed in this book is a biclustering method feasible under the condition that neither the number of groups nor the number of fields is known beforehand. Additionally, the local dependence LRA, local dependence biclustering, and bicluster network model are methods that search and visualize inter-item (or inter-field) network structure using the mechanism of BNM. As this book offers a new perspective on test data analysis methods, it is certain to widen readers’ perspective on test data analysis. .

Keywords

Estadística bayesiana --- Anàlisi de conglomerats --- Mineria de dades --- Tests i proves en educació --- Processament de dades --- Visualització de la informació --- Visualització científica --- Visualització de les dades --- Visualització --- Analítica visual --- Processament de dades electròniques --- Processament automàtic de dades --- Processament electrònic de dades --- Processament integrat de dades --- Sistematització de dades (Ordinadors) --- Tractament de dades --- Tractament electrònic de dades --- Tractament integrat de dades --- Automatització --- Informàtica --- Complexitat computacional --- Curació de dades --- Depuració (Informàtica) --- Estructures de dades (Informàtica) --- Gestió de bases de dades --- Informàtica mòbil --- Informàtica recreativa --- Intel·ligència artificial --- Sistemes en línia --- Temps real (Informàtica) --- Tractament del llenguatge natural (Informàtica) --- Processament òptic de dades --- Protecció de dades --- Transmissió de dades --- Tolerància als errors (Informàtica) --- Mesuraments en educació --- Mesuraments i proves educatives --- Proves en educació --- Tests en educació --- Psicometria --- Proves d'accés a la universitat --- Qualificacions (Ensenyament) --- Tests de lectura --- Avaluació dels alumnes --- Avaluació dels estudiants --- Tests --- Prospecció de dades --- Cerca en bases de dades --- Arquitectura orientada a serveis (Informàtica) --- Extracció de dades de llocs web --- Mineria de web --- Anàlisi de Cluster --- Anàlisi d'agrupaments --- Anàlisi espacial (Estadística) --- Anàlisi multivariable --- Correlació (Estadística) --- Estadística de Bayes --- Fórmula de Bayes --- Presa de decisions (Estadística bayesiana) --- Solució de Bayes --- Teorema de Bayes --- Teoria de la decisió estadística bayesiana --- Presa de decisions --- Data mining. --- Information visualization. --- Educational tests and measurements --- Bayesian statistical decision theory. --- Cluster analysis. --- Data processing. --- Correlation (Statistics) --- Multivariate analysis --- Spatial analysis (Statistics) --- Bayes' solution --- Bayesian analysis --- Statistical decision --- Data visualization --- Visualization of information --- Information science --- Visual analytics --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Social sciences --- Statistics. --- Political planning. --- Psychometrics. --- Machine learning. --- Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. --- Statistical Theory and Methods. --- Public Policy. --- Machine Learning. --- Statistical methods. --- Learning, Machine --- Artificial intelligence --- Machine theory --- Measurement, Mental --- Measurement, Psychological --- Psychological measurement --- Psychological scaling --- Psychological statistics --- Psychology --- Psychometry (Psychophysics) --- Scaling, Psychological --- Psychological tests --- Scaling (Social sciences) --- Planning in politics --- Public policy --- Planning --- Policy sciences --- Politics, Practical --- Public administration --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Measurement --- Scaling --- Methodology

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