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检索条件"任意字段=Conference on Visual Data Exploration and Analysis"

共 1758 条记录，以下是521-530 订阅

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visual exploration of Time Series Anomalies with Metro-Viz 19

Visual Exploration of Time Series Anomalies with Metro-Viz

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ACM SIGMOD International conference on Management of data (SIGMOD)

作者： Eichmann, Philipp Solleza, Franco Tatbul, Nesime Zdonik, Stan Brown Univ Providence RI 02912 USA Intel Labs Cambridge MA USA MIT 77 Massachusetts Ave Cambridge MA 02139 USA

ISBN: (纸本)9781450356435

This demo presents a novel data visualization solution for exploring the results of time series anomaly detection systems. When anomalies are reported, there is a need to reason about the results. We introduce Metro-Viz - a visual tool to assist data scientists in performing this analysis. Metro-Viz offers a rich set of interaction features (e.g., comparative analysis, what-if testing) backed by data management strategies specifically tailored to the workload. We show our tool in action via multiple time series datasets and anomaly detectors.

关键词： time series anomaly detection visual analysis

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A visual analytics system of data gathered from colonial seabirds 23

A visual analytics system of data gathered from colonial sea...

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23rd International conference on the Information visualisation (IV) - Incorporating Biomedical visualization, Learning Analytics and Geometric Modelling and Imaging

作者： Palleschi, Alessia Crielesi, Matteo Univ Roma La Sapienza Engn Comp Sci Rome Italy

ISBN: (纸本)9781728128382

visual environment techniques can support an easy exploration of large datasets. A visual environment has been developed to explore the breeding data of a monogamous and nest-site faithful seabird, the Scopoli's shearwater. The aim was to provide a tool, easy-to-use for ornithologists, to examine the history of the nests, and the relationships of the various factors affecting the variability in the breeding success during a four year time period. The tool is based on four coordinated views, linked to each other and to the dataset, each showing a different grouping of data according with spatial, temporal, and categorical criteria. This tool can help the ornithologists to pick up easily the similarities and differences between the nests and offers a new instrument for the first exploration of data.

关键词： visual Analytics Shearwater breeding biology analysis of breeding data pair fidelity nest fidelity

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VizCertify: A framework for secure visual data exploration 6

VizCertify: A framework for secure visual data exploration

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6th IEEE International conference on data Science and Advanced Analytics (DSAA)

作者： De Stefani, Lorenzo Spiegelberg, Leonhard F. Upfal, Eli Kraska, Tim Brown Univ Dept Comp Sci Providence RI 02912 USA MIT CSAIL 77 Massachusetts Ave Cambridge MA 02139 USA

ISBN: (纸本)9781728144931

Recently, there have been several proposals to develop visual recommendation systems. The most advanced systems aim to recommend visualizations, which help users to find new correlations or identify an interesting deviation based on the current context of the user's analysis. However, when recommending a visualization to a user, there is an inherent risk to visualize random fluctuations rather than solely true patterns: a problem largely ignored by current techniques. In this paper, we present VizCertify, a novel framework to improve the performance of visual recommendation systems by quantifying the statistical significance of recommended visualizations. The proposed methodology allows to control the probability of misleading visual recommendations using both classical statistical testing procedures and a novel application of the Vapnik Chervonenkis (VC) dimension towards visualization recommendation which results in an effective criterion to decide whether a recommendation corresponds to a true phenomenon or not.

关键词： visualization Recommendation Systems FWER data exploration visual Recommendation

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exploration of anomalies in cyclic multivariate industrial time series data for condition monitoring 23

Exploration of anomalies in cyclic multivariate industrial t...

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Workshops of the 23rd International conference on Extending database Technology/23rd International conference on database Theory, EDBT-ICDT-WS 2020

作者： Suschnigg, Josef Mutlu, Belgin Fuchs, Anna Katharina Sabol, Vedran Thalmann, Stefan Schreck, Tobias Pro2Future Avl List Graz Austria Pro2Future Know-Center GmbH Graz Austria Avl List Graz Austria Know-Center GmbH Graz Austria University of Graz Graz Austria Graz University of Technology Graz Austria

Industrial product testing is frequently performed in cycles, resulting in cycle-dependent test data. Monitoring the condition of products under test involves analysis of large and complex test data sets. Main tasks are to detect anomalies and dependencies between observation variables, which appears to be challenging to engineers. In this paper, we present a flexible and extendable visual analytics approach for anomaly detection focusing on cycle-depended data. It is based on a glyph representation to visualize anomaly scores of cycles with respect to interactively selected reference data. Our approach is built on a design study in collaboration with an industrial engineering corporation, and is demonstrated on real data from engines tested on automotive testbeds. Based on findings from evaluation results, we provide a discussion and an outlook for future work. © 2020 Copyright for this paper by its author(s).

关键词： Condition monitoring

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Breaking the Curse of visual data exploration: Improving Analyses by Building Bridges between data World and Real World 10

Breaking the Curse of Visual Data Exploration: Improving Ana...

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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： Kraus, Matthias Weiler, Niklas Breitkreutz, Thorsten Keim, Daniel A. Stein, Manuel Univ Konstanz Data Anal & Visualizat Constance Germany

ISBN: (纸本)9789897583544

visual data exploration is a useful means to extract relevant information from large sets of data. The visual analytics pipeline processes data recorded from the real world to extract knowledge from gathered data. Subsequently, the resulting knowledge is associated with the real world and applied to it. However, the considered data for the analysis is usually only a small fraction of the actual real-world data and lacks above all in context information. It can easily happen that crucial context information is disregarded, leading to false conclusions about the real world. Therefore, conclusions and reasoning based on the analysis of this data pertain to the world represented by the data, and may not be valid for the real world. The purpose of this paper is to raise awareness of this discrepancy between the data world and the real world which has a high impact on the validity of analysis results in the real world. We propose two strategies which help to identify and remove specific differences between the data world and the real world. The usefulness and applicability of our strategies are demonstrated via several use cases.

关键词： visualization Theory Uncertainty Validation visual Analytics

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Designing for visual data exploration in Multi-Device Environments

Designing for Visual Data Exploration in Multi-Device Enviro...

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CHI conference on Human Factors in Computing Systems (CHI)

作者： Horak, Tom Tech Univ Dresden Interact Media Lab Dresden Germany

ISBN: (纸本)9781450359719

Multi-device environments have an enormous potential to enable more flexible workflows during our daily work. At the same time, visual data exploration is characterized as a fragmented sensemaking process requiring a high degree of flexibility. In my thesis, I am aiming to bring these two worlds into symbiosis, specifically for sensemaking with multivariate data visualizations and graph visualizations. This involves three main objectives: (i) understanding the devices' roles in dynamic device ensembles and their relations to exploration patterns, (ii) identifying mechanisms for adapting visualizations for different devices while preserving a consistent perception and interaction, and, finally, (iii) supporting users and developers in designing such distributed visualization interfaces, e.g., through specific guidelines. As specific contributions, it is planned that (i) and (ii) emerge into a design space, while (iii) leads to a set of heuristics. So far, I was able to extensively work on the first objective as well as to touch on the other two.

关键词： visual data analysis cross-device interaction mobile visualization

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A study on EEG-NIRS testing of drug users' brain function under visual induction 9

A study on EEG-NIRS testing of drug users' brain function un...

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9th International conference on Computing and Pattern Recognition, ICCPR 2020

作者： Yang, Banghua Gu, Xuelin Xu, Ding Fan, Chengcheng School of Mechanical and Electrical Engineering and Automation Shanghai University Shanghai China Shanghai Drug Rehabilitation Administration Bureau Shanghai China

ISBN: (纸本)9781450387835

Long-term drug abuse may change the brain function. In this paper, a new experimental paradigm combining EEG and NIRSIT is designed to explore target stimulus pictures-induced changes in electroencephalograms, as well as the changes in blood oxygen under near-infrared spectroscopy in drug users. The experiment divides into three stages. The first stage denotes the resting state. The task in the second stage includes induction by target stimulation pictures and neutral pictures. And in the third stage, the resting state pictures are all neutral pictures. The electroencephalograms and near-infrared data were collected in the three stages. Then an analysis was made of the ERP potential P300 of the electroencephalograms, the changes in hemoglobin concentration under near-infrared spectroscopy, and the channel time series. An analysis was made of the EEG and NIRSIT data on 120 people who were tested in a rehabilitation center according to the paradigm designed for the experiment. An analysis of the electroencephalograms in the second stage of the experiment shows that target stimulus pictures evoked more obvious P300 volatility in electroencephalograms than neutral pictures. Meanwhile, an analysis of the NIRSIT data shows that the concentration of oxyhemoglobin increased and the concentration of deoxyhemoglobin decreased. exploration of drug rehabilitation studies, laying a foundation for further predicting pathological changes in the human brain, as well as targeted rehabilitation. © 2020 ACM.

关键词： Detoxification

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RescueMark: visual Analytics of Social Media data for Guiding Emergency Response in Disaster Situations Award for Skillful Integration of Language Model 14

RescueMark: Visual Analytics of Social Media Data for Guidin...

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14th IEEE conference on visual Analytics Science and Technology (IEEE VAST)

作者： Jeitler, Astrik Tuerkoglu, Alpin Makarov, Denis Jockers, Timo Buchmueller, Juri Schlegel, Udo Keim, Daniel A. Univ Konstanz Constance Germany

ISBN: (纸本)9781728122847

This paper presents RescueMark, a web-based visual analytics tool for analyzing disaster situations and guiding emergency response. In disaster situations operators must take quick and effective decisions to solve critical problems. RescueMark provides spatial, topic and temporal event exploration supporting decision making for resource allocation and determine damaged areas of the city. We describe the data analysis and visualization process of the social media data applied to extract the relevant information.

关键词： Human-centered computing visualization visualization application domains visual analytics

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visual analysis of Bird Moving Patterns 1

引用

36th Computer Graphics International conference (CGI)

作者： Matkovic, Kresimir Gracanin, Denis Beham, Michael Splechtna, Rainer Meyer, Miriah Ginina, Elena VRVis Res Ctr Vienna Austria Virginia Tech Blacksburg VA USA Univ Utah Salt Lake City UT USA

ISBN: (数字)9783030225148

ISBN: (纸本)9783030225148;9783030225131

In spite of recent advances in data analysis techniques, exploration of complex, unstructured spatial-temporal data could still be difficult. An interactive approach, with human in the analysis loop, represents a valuable add on to automatic analysis methods. We describe an interactive visual analysis method to exploration of complex spatio-temporal data sets. The proposed approach is illustrated using a publicly available data set, a collection of bird locations recorded over an extended period of time. In order to explore and comprehend complex patterns in bird movements over time, we provide two new views, the centroids scatter plot view and the distance plot view. Successful analysis of the birds data indicates the usefulness of the newly proposed approach for other spatio-temporal data of a similar structure.

关键词： visual analytics Spatio-temporal data Patterns in movement data

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A Study on EEG-NIRS Testing of Drug Users' Brain Function under visual Induction 2020

A Study on EEG-NIRS Testing of Drug Users' Brain Function un...

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Proceedings of the 2020 9th International conference on Computing and Pattern Recognition

作者： Banghua Yang Xuelin Gu Ding Xu Chengcheng Fan School of Mechanical and Electrical Engineering and Automation Shanghai University Shanghai China Shanghai Drug Rehabilitation Administration Bureau Shanghai China

ISBN: (纸本)9781450387835

关键词： analysis of brain function of drug addicts Drug addiction drug detoxification EEG and NIRSIT

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