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Titlebook: Visualization of Time-Oriented Data; Wolfgang Aigner,Silvia Miksch,Christian Tominski Book‘‘‘‘‘‘‘‘ 2023Latest edition The Editor(s) (if ap

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書(shū)目名稱(chēng)Visualization of Time-Oriented Data
編輯Wolfgang Aigner,Silvia Miksch,Christian Tominski
視頻videohttp://file.papertrans.cn/984/983869/983869.mp4
概述This book is open access, which means that you have free and unlimited access.Systematic introduction to the state of the art in visualizing time and time-oriented data.Coverage of interaction and com
叢書(shū)名稱(chēng)Human–Computer Interaction Series
圖書(shū)封面Titlebook: Visualization of Time-Oriented Data; Wolfgang Aigner,Silvia Miksch,Christian Tominski Book‘‘‘‘‘‘‘‘ 2023Latest edition The Editor(s) (if ap
描述.This is an open access book..Time is an exceptional dimension with high relevance in medicine, engineering, business, science, biography, history, planning, or project management. Understanding time-oriented data via visual representations enables us to learn from the past in order to predict, plan, and build the future...This second edition builds upon the great success of the first edition. It maintains a brief introduction to visualization and a review of historical time-oriented visual representations. At its core, the book develops a systematic view of the visualization of time-oriented data. Separate chapters discuss interaction techniques and?computational?methods for supporting the visual data analysis. Many examples and figures illustrate the introduced concepts and techniques..So, what is new for the second edition? First of all, the second edition is now published as an open-access book so that anyone interested in the visualization of time and time-oriented data can read it. Second, the entire content has been revised and expanded to represent state-of-the-art knowledge. The chapter on interaction support now includes advanced methods for interacting with visual repres
出版日期Book‘‘‘‘‘‘‘‘ 2023Latest edition
關(guān)鍵詞Computer-Generated Visual Representations; Time-Oriented Data; Human-computer Interaction; Visualizatio
版次2
doihttps://doi.org/10.1007/978-1-4471-7527-8
isbn_softcover978-1-4471-7529-2
isbn_ebook978-1-4471-7527-8Series ISSN 1571-5035 Series E-ISSN 2524-4477
issn_series 1571-5035
copyrightThe Editor(s) (if applicable) and The Author(s) 2023
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發(fā)表于 2025-3-21 22:51:41 | 只看該作者
he Kalman filter, which is optimum in the mean-square sense, is used to estimate the clean ABRs. To save time and effort, discrete wavelet transform (DWT) coefficients are employed as features instead of filtering the raw ABR signal. The results show that even with a smaller number of epochs, the wa
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Wolfgang Aigner,Silvia Miksch,Heidrun Schumann,Christian Tominskiandom Forest, XGBoost and Support Vector Machine algorithms were compared to find the best DCE-MRI instant for breast cancer classification: the pre-contrast and the third post-contrast instants resulted as the most informative items. Random Forest can be considered the optimal algorithm showing an
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Wolfgang Aigner,Silvia Miksch,Heidrun Schumann,Christian TominskiWe review our recent work on the one-atom maser. We propose and analyse an experiment based on this maser and designed to probe the way in which the measurement process, that is, the presence of a detector influences the investigated quantum system. Phase transitions between chaotic and ordered structures of ions stored in a Paul trap are analysed.
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Introduction, Basically, every piece of data we measure is related and often only meaningful within the context of space and time. Consider, for example, the price of a barrel of oil. The data value of $129 alone is not very useful. Only if assessed in the context of where (space) and when (time) is the oil pric
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