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检索条件"任意字段=14th Symposium on Large Data Analysis and Visualization"

共 540 条记录，以下是41-50 订阅

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Visualizing Results of Promoting Campaigns 14

Visualizing Results of Promoting Campaigns

引用

14th International Conference Management of large-Scale System Development, MLSD 2021

作者： Vladova, Alla Yu. Vladov, Yu. R. Yakimov, A.I. V.A. Trapeznikov Institute of Control Sciences of RAS Financial University Government of the Russian Federation Laboratory of Identification of Systems Moscow Russia Orenburg Federal Research Center of the Ural Branch of RAS Laboratory of Environmental Management Technologies Orenburg Russia Belorussian-Russian University Department of Automation Systems Mogilev Belarus

ISBN: (纸本)9781665412308

Literature review related to the data exploration methods in marketing showed that the number of publications and software tools in the field of exploration data analysis of business processes has been increasing since 2015. the contribution of the given research lies in the hypothesis of the possibility to construct a quantitative model of a business process for big data containing fraud. At the first stage, we performed data cleaning and reduction, examined data distributions, and identified issues such as extreme values that supplement the previously developed visualization approach. the descriptive analysis helped us to describe the significant number of categorical features. We emphasized the data outliers that should be marked for further research. © 2021 IEEE.

关键词： data visualization

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Rapid Construction of A Big data analysis System with Creative Comparison Methods 14

Rapid Construction of A Big Data Analysis System with Creati...

引用

14th International symposium on Pervasive Systems, Algorithms and Networks (I-SPAN) / 11th International Conference on Frontier of Computer Science and Technology (FCST) / 3rd International symposium of Creative Computing (ISCC)

作者： Hsu, Tse-Chuan Chang, Dong-Meau Chang, Chih-Hung Cheng, Rei-Heng Bath Spa Univ Ctr Creat Comp Bath Avon England Hsuan Chuang Univ Dept Journalism Hsinchu Taiwan Hsiuping Univ Sci & Technol Dept Informat Management Taichung Taiwan Yuanpei Univ Med Technol Dept Appl Mobile Technol Hsinchu Taiwan

ISBN: (纸本)9781538608401

data query comparison of large data should process a large number of datasets, which is the core for basic research projects. In the selection of analysis factors, how to choose a better way to provide data analysis library can be very helpful for quickly analysis and search comparison. In this study, we try to design and study, improve the speed of data query and comparison in big datasets, and find a similar bleak analysis, construct data fuzzy comparison after the results of modelling analysis. How to filter out relevant quarries and utilise creative elements may be able to mate the results. In the case studies, the proposed method will be carried out through artificial experience analysis and extraction for analysis results, and it will also be further applied to different industry analysis techniques. In this study, we used creative data engineering to reorganise unknown information from the database first. After the data collection, we aim to find possible similar variable factors and combine them with the data structure management. thirdly, through the intersection of information quickly query, relevant data can be drawn to cross-matching pre-established models. When relevant factors change, we allow different aggregation. Finally, after the selection, our study can analyse and select all the data structure of the original non-relevance of the field data to find out the relevance of the results.

关键词： component data engineering pre-established models data structure management

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Stem and leaf plots extended for text visualizations 14

Stem and leaf plots extended for text visualizations

引用

14th International Conference on Computer Graphics, Imaging and visualization, CGiV 2017

作者： Brath, Richard Banissi, Ebad Computer Science and Informatics London South Bank University Uncharted Software Toronto United Kingdom Computer Science and Informatics London South Bank University London United Kingdom

ISBN: (纸本)9781538608524

Stem and leaf plots are data dense visualizations that organize large amounts of micro-level numeric data to form larger macro-level visual distributions. these plots can be extended with font attributes and different token lengths for new applications such as n-grams analysis, character attributes, set analysis and text repetition. © 2017 IEEE.

关键词： visualization

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Visual Growing Neural Gas for Exploratory data analysis 10

Visual Growing Neural Gas for Exploratory Data Analysis

引用

14th International Joint Conference on Computer Vision, Imaging and Computer Graphics theory and Applications (VISIGRAPP) / 10th International Conference on Information visualization theory and Applications (IVAPP)

作者： Ventocilla, Elio Riveiro, Maria Univ Skovde Sch Informat Skovde Sweden

ISBN: (纸本)9789897583544

this paper argues for the use of a topology learning algorithm, the Growing Neural Gas (GNG), for providing an overview of the structure of large and multidimensional datasets that can be used in exploratory data analysis. We introduce a generic, off-the-shelf library, Visual GNG, developed using the Big data framework Apache Spark, which provides an incremental visualization of the GNG training process, and enables userin-the-loop interactions where users can pause, resume or steer the computation by changing optimization parameters. Nine case studies were conducted with domain experts from different areas, each working on unique real-world datasets. the results show that Visual GNG contributes to understanding the distribution of multidimensional data;finding which features are relevant in such distribution;estimating the number of k clusters to be used in traditional clustering algorithms, such as K-means;and finding outliers.

关键词： Growing Neural Gas Dimensionality Reduction Multidimensional data Visual Analytics Exploratory data analysis

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A 3D visualization of Multiple Time Series on Maps

A 3D Visualization of Multiple Time Series on Maps

引用

14th International Conference on Information Visualisation (IV)

作者： thakur, Sidharth Hanson, Andrew J. Renaissance Comp Inst Chapel Hill NC 27517 USA Indiana Univ Bloomington IN 47405 USA

ISBN: (纸本)9780769541655

In the analysis of spatially-referenced timedependent data, gaining an understanding of the spatiotemporal distributions and relationships among the attributes in the data can be quite difficult. We present a visualization technique that addresses some of the challenges involved in visually exploring and analyzing the distributions of geo-spatial time-varying data. We have developed a pictorial representation that is based on the standard space-time cube metaphor and provides in a single display the overview and details of a large number of time-varying quantities. Our approach involves three-dimensional graphical widgets that intuitively represent profiles of the time-varying quantities and can be plotted on a geographic map to expose interesting spatiotemporal distributions of the data. We show how combining our visualization technique with standard data exploration features can assist in the exploration of salient patterns in a data set. the visualization approach described here supports expeditious exploration of multiple data sets;this in turn assists the process of building initial hypotheses about the attributes in a data set and enhances the user's ability to pose and explore interesting questions about the data.

关键词： 3d information visualization overview plus detail time series visualization spatio-temporal data glyphs

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A framework for constructing open data map visualizations 18

A framework for constructing open data map visualizations

引用

14th Brazilian symposium on Information Systems (SBSI)

作者： Santos, Victor Camara, Pedro Bernardini, Flavia Viterbo, Jose Jorge, Douglas Univ Fed Fluminense Inst Ciencia & Tecnol Rio Das Ostras RJ Brazil Univ Fed Fluminense Inst Comp Niteroi RJ Brazil

ISBN: (纸本)9781450365598

Open Government data has been made available by public institutions in Brazil and the world, and can add value to various sectors of society. Open data is also linked to smart cities, and hence important in this context, as it is the first step towards public transparency. Despite the wide range of Open Government data, interpreting such data sets is a non-trivial task, due to the massive amount of raw data. this stimulates the search for techniques and methodologies that allow the interpretation of implicit information and deduction of new knowledge. One of the approaches used for these tasks involves the use of data visualizations. In addition to data visualizations classically used in descriptive statistics for data analysis, such as line or bar charts, many web sites have been used map visualization techniques. this type of visualization is important, since visualization of georeferenced data combined with other types of information can aid its interpretation. However, for data visualization construction on maps, it is necessary that the objects to be visualized are georeferenced. there are standards for turning such data available, however they are diverse, which may make it difficult for a single tool to display views from different sources. this work aims to present a framework that defines data standards for constructing data visualizations on maps of various types. Based on this framework, a tool was implemented to facilitate the creation of different map views, both by developers of open data portals and by users who analyze such data.

关键词： Open Government data Transparency Information visualization in Maps

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Stable Visual Summaries for Trajectory Collections 14

Stable Visual Summaries for Trajectory Collections

引用

14th IEEE Pacific visualization symposium (IEEE PacificVis)

作者： Wulms, Jules Buchmueller, Juri Meulemans, Wouter Verbeek, Kevin Speckmann, Bettina TU Wien Vienna Austria Univ Konstanz Constance Germany TU Eindhoven Eindhoven Netherlands

ISBN: (纸本)9781665439312

the availability of devices that track moving objects has led to an explosive growth in trajectory data. When exploring the resulting large trajectory collections, visual summaries are a useful tool to identify time intervals of interest. A typical approach is to represent the spatial positions of the tracked objects at each time step via a one-dimensional ordering;visualizations of such orderings can then be placed in temporal order along a time line. there are two main criteria to assess the quality of the resulting visual summary: spatial quality - how well does the ordering capture the structure of the data at each time step, and stability - how coherent are the orderings over consecutive time steps or temporal ranges? In this paper we introduce a new Stable Principal Component (SPC) method to compute such orderings, which is explicitly parameterized for stability, allowing a trade-off between the spatial quality and stability. We conduct extensive computational experiments that quantitatively compare the orderings produced by ours and other stable dimensionality-reduction methods to various state-of-the-art approaches using a set of well-established quality metrics that capture spatial quality and stability. We conclude that stable dimensionality reduction outperforms existing methods on stability, without sacrificing spatial quality or efficiency;in particular, our new SPC method does so at a fraction of the computational costs.

关键词： Human-centered computing visualization visualization techniques Mathematics of computing Probability and statistics Statistical paradigms Dimensionality reduction

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visualization of positive data by rational cubic spline interpolant

Visualization of positive data by rational cubic spline inte...

引用

14th International Conference on Information Visualisation (IV)

作者： Sarfraz, Muhammad Hussain, Malik Zawwar Shaikh, Tahira Sumbal Kuwait Univ Dept Informat Sci Adailiya CampusPOB 5969 Safat 13060 Kuwait Univ Punjab Dept Math Lahore Pakistan

ISBN: (纸本)9780769541655

this paper discusses the problem of constructing positive cubic spline interpolation. To obtain smooth curve for positive data, piecewise rational cubic function has been used. In the description of rational interpolant, two families of parameters have been constrained to preserve positive shape of the data, the rational spline scheme has a unique representation. In addition, to preserve the shape of positive data sets, the degree of smoothness attained is C-2

关键词： data visualization Rational spline Interpolation Shape preserving Positive

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Visually Comparing Process Dynamics with Rhythm-Eye Views

Visually Comparing Process Dynamics with Rhythm-Eye Views

引用

14th International Conference on Business Process Management (BPM)

作者： Gulden, Jens Univ Duisburg Essen Univ Str 9 D-45141 Essen Germany

ISBN: (纸本)9783319584577;9783319584560

To visualize information about process behavior over time, typically timeline based visualizations are used in contemporary analysis tools. When an overview over a large range of process instances and possible repetitive behavior is to be displayed, however, the timeline projection comes with several limitations. In this article, an alternative to the common timeline projection of process event data is elaborated, which allows to project series of time-related events and regularities therein onto a circular structure. Especially for comparing process rhythms in multiple sets of event data, this visualization comes with advantages over timeline projections and provides more flexibility in configuration. A conceptual elaboration of the approach together with a prototypical implementation is presented in this paper.

关键词： Process event analysis Event visualization Process visualization Rhythm visualization Business analytics Business intelligence

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Exploring correlation using circle waves 14

Exploring correlation using circle waves

引用

14th IADIS International Conference Computer Graphics, visualization, Computer Vision and Image Processing 2020, CGVCVIP 2020 and 5th IADIS International Conference Big data Analytics, data Mining and Computational Intelligence 2020, BigDaCI 2020 and 9th IADIS International Conference theory and Practice in Modern Computing 2020, TPMC 2020, Part of the 14th Multi Conference on Computer Science and Information Systems, MCCSIS 2020

作者： Ishpuniani, Dhruv Trinity College Dublin The University of Dublin Ireland

ISBN: (纸本)9789898704214

Correlation is widely used in data analytics applications to measure association between various variables. the common approaches to visualize multivariate correlation are clustered heatmaps and scatterplot matrices, however, they do not scale well when the number of variables is large. this paper presents a new animated, aesthetically pleasing alternative to the aforementioned approaches which also reduces the information overload experienced by the viewer. the proposed technique is applicable to scenarios where the analysis requires multiple target variables to be investigated and a high-level intuition about the correlation magnitude is enough. © Proceedings of the 14th IADIS International Conference Computer Graphics, visualization, Computer Vision and Image Processing 2020, CGVCVIP 2020 and Proceedings of the 5th IADIS International Conference Big data Analytics, data Mining and Computational Intelligence 2020, BigDaCI 2020 and Proceedings of the 9th IADIS International Conference theory and Practice in Modern Computing 2020, TPMC 2020 - Part of the 14th Multi Conference on Computer Science and Information Systems, MCCSIS 2020. All rights reserved.

关键词： data Analytics

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