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14th IEEE Pacific visualization symposium (IEEE PacificVis)

作者： Vietinghoff, Dominik Heine, Christian Bottinger, Michael Maher, Nicola Jungclaus, Johann Scheuermann, Gerik Univ Leipzig Leipzig Germany Deutsch Klimarechenzentrum Hamburg Germany Max Planck Inst Meteorol Hamburg Germany

ISBN: (纸本)9781665439312

A driving factor of the winter weather in Western Europe is the North Atlantic Oscillation (NAO), manifested by fluctuations in the difference of sea level pressure between the Icelandic Low and the Azores High. Different methods have been developed that describe the strength of this oscillation, but they rely on certain assumptions, e.g., fixed positions of these two pressure systems. It is possible that climate chance affects the mean location of both the Low and the High and thus the validity of these descriptive methods. this study is the first to visually analyze large ensemble climate change simulations (the MPI Grand Ensemble) to robustly assess shifts of the drivers of the NAO phenomenon using the uncertain northern hemispheric surface pressure fields. For this, we use a sliding window approach and compute empirical orthogonal functions (EOFs) for each window and ensemble member, then compare the uncertainty of local extrema in the results as well as their temporal evolution across different CO2 scenarios. We find systematic northeastward shifts in the location of the pressure systems that correlate with the simulated warming. Applying visualization techniques for this analysis was not straightforward;we reflect and give some lessons learned for the field of visualization.

关键词： Artificial intelligence Computer vision Computer vision problemsObject detection Human-centered computing visualization visualization systems and tools visualization toolkits Computing methodologies

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Cartola FC data analysis: A simulation, analysis, and visualization tool based on Cartola FC Fantasy Game 18

Cartola FC Data Analysis: A simulation, analysis, and visual...

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14th Brazilian symposium on Information Systems (SBSI)

作者： Mota, Edson Coimbra, Danilo Peixoto, Maycon Univ Fed Bahia UFBA Salvador BA Brazil

ISBN: (纸本)9781450365598

the search for computational models based on the prediction of scenarios has attracted the attention of many researchers over the years. Within this context, Fantasy Games work as social media environments that mix real information on a virtual world, offering a challenging scenario. this work aims to explore this scenario by introducing a simulation, analysis, and visualization tool, based on the Fantasy Game Cartola FC. this tool automatically generates teams by using two distinct strategies based on statistical models for each tournament round, simulating an entire championship. From these theoretic models, we create a visualization tool to support user analysis. Lastly, we perform the planning of experiments to determine the influence of certain aspects of team's composition.

关键词： Fantasy Games Algorithms data visualization Simulation data analysis

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A Visual Analytics Approach for the Diagnosis of Heterogeneous and Multidimensional Machine Maintenance data 14

A Visual Analytics Approach for the Diagnosis of Heterogeneo...

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14th IEEE Pacific visualization symposium (IEEE PacificVis)

作者： Zhang, Xiaoyu Fujiwara, Takanori Chandrasegaran, Senthil Brundage, Michael P. Sexton, thurston Dima, Alden Ma, Kwan-Liu Univ Calif Davis Davis CA 95616 USA Delft Univ Technol Delft Netherlands NIST Gaithersburg MD 20899 USA

ISBN: (纸本)9781665439312

analysis of large, high-dimensional, and heterogeneous datasets is challenging as no one technique is suitable for visualizing and clustering such data in order to make sense of the underlying information. For instance, heterogeneous logs detailing machine repair and maintenance in an organization often need to be analyzed to diagnose errors and identify abnormal patterns. formalizi. root-cause analyses, and plan preventive maintenance. Such real-world datasets are also beset by issues such as inconsistent and/or missing entries. To conduct an effective diagnosis, it is important to extract and understand patterns from the data with support from analytic algorithms (e.g., finding that certain kinds of machine complaints occur more in the summer) while involving the human-in-the-loop. To address these challenges, we adopt existing techniques for dimensionality reduction (DR) and clustering of numerical, categorical, and text data dimensions, and introduce a visual analytics approach that uses multiple coordinated views to connect DR + clustering results across each kind of the data dimension stated. To help analysts label the clusters, each clustering view is supplemented with techniques and visualizations that contrast a cluster of interest with the rest of the dataset. Our approach assists analysts to make sense of machine maintenance logs and their errors. then the gained insights help them carry out preventive maintenance. We illustrate and evaluate our approach through use cases and expert studies respectively, and discuss generalization of the approach to other heterogeneous data.

关键词： Visual analytics heterogeneous data high-dimensional data machine learning text analytics maintenance logs

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MicroScope: ChIP-seq and RNA-seq software analysis suite for gene expression heatmaps

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BMC BIOINFORMATICS 2016年第1期17卷 1-9页

作者： Khomtchouk, Bohdan B. Hennessy, James R. Wahlestedt, Claes Univ Miami Miller Sch Med Ctr Therapeut Innovat 1120 NW 14th ST Miami FL 33136 USA Univ Miami Miller Sch Med Dept Psychiat & Behav Sci 1120 NW 14th ST Miami FL 33136 USA Univ Miami Dept Math 1365 Mem Dr Coral Gables FL 33146 USA

Background: Heatmaps are an indispensible visualization tool for examining large-scale snapshots of genomic activity across various types of next-generation sequencing datasets. However, traditional heatmap software do not typically offer multi-scale insight across multiple layers of genomic analysis (e.g., differential expression analysis, principal component analysis, gene ontology analysis, and network analysis) or multiple types of next-generation sequencing datasets (e.g., ChIP-seq and RNA-seq). As such, it is natural to want to interact with a heatmap's contents using an extensive set of integrated analysis tools applicable to a broad array of genomic data types. Results: We propose a user-friendly ChIP-seq and RNA-seq software suite for the interactive visualization and analysis of genomic data, including integrated features to support differential expression analysis, interactive heatmap production, principal component analysis, gene ontology analysis, and dynamic network analysis. Conclusions: MicroScope is hosted online as an R Shiny web application based on the D3 JavaScript library: http://***/. the methods are implemented in R, and are available as part of the MicroScope project at: https://***/Bohdan-Khomtchouk/Microscope.

关键词： Gene Ontology Differential Expression analysis Gene Ontology analysis Gene Ontology Category Cluster Heatmap

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Bibliometric visualization analysis of Sustainable Design from 2001 to 2021 14

Bibliometric Visualization Analysis of Sustainable Design fr...

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14th International symposium on Computational Intelligence and Design, ISCID 2021

作者： Cai, Ruiyi Xiang, Yudi Modern Industrial Design Institute Zhejiang University Hangzhou China School of Software Technology Zhejiang University Hangzhou China

ISBN: (纸本)9781665438568

Based on the data of 1,430 sustainable design literature included in the Web of Science database from 2001 to 2021, this paper integrates the analytical advantages of CiteSpace and VOSviewer, and conducts field-specific bibliometric analysis and visualization presentation of results. the article analyzes the distribution and sources of the literature at the micro level, combs the research hotspots, branches and development frontiers at the macro level, providing a comprehensive and clear context combing of the sustainable design field. © 2021 IEEE.

关键词： visualization

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Visual analysis on Machine Learning Assisted Prediction of Ionic Conductivity for Solid-State Electrolytes 14

Visual Analysis on Machine Learning Assisted Prediction of I...

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14th IEEE Pacific visualization symposium (IEEE PacificVis)

作者： Shao, Hui Pu, Jiansu Zhu, Yanlin Gao, Boyang Zhu, Zhengguo Rao, Yunbo UESTC Chengdu Peoples R China Shenzhen Clean Energy Res Inst Shenzhen Peoples R China

ISBN: (纸本)9781665439312

Lithium ion batteries (LIBs) are widely used as the important energy sources in our daily life such as mobile phones. electric vehicles. and drones etc. Due to the potential safety risks caused by liquid electrolytes. the experts have tried to replace liquid electrolytes with solid ones. However, it is very difficult to find suitable alternatives materials in traditional ways for its incredible high cost in searching. Machine learning (ML) based methods are currently introduced and used for material prediction. But there is rarely an assisting learning tools designed for domain experts for institutive performance comparison and analysis of ML model. In this case, we propose an interactive visualization system for experts to select suitable ML models, understand and explore the predication results comprehensively. Our system employs a multi-faceted visualization scheme designed to support analysis from the perspective of feature composition, data similarity, model performance. and results presentation. A case study with real experiments in lab has been taken by the expert and the results of confirmed the effectiveness and helpfulness of our system.

关键词： Interactive visualization Machine learning High-dimensional data Materials discovery Ionic conductivity Solid electrolyte

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Dynamic visualizations for Soccer Statistical analysis

Dynamic Visualizations for Soccer Statistical Analysis

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14th International Conference on Information Visualisation (IV)

作者： Rusu, Adrian Stoica, Doru Burns, Edward Hample, Benjamin McGarry, Kevin Russell, Robert Rowan Univ Dept Comp Sci Stratford NJ 08028 USA Univ Craiova Dept Phys Educ Craiova Romania

ISBN: (纸本)9780769541655

the analysis of large sums of soccer statistics can be extremely difficult if the data is not presented graphically. As a result, we developed an application, titled Soccer Scoop, which provides two separate visualizations that can aid a soccer team manager. With our application, a team manager can compare two players on different teams, analyze a particular player before signing them to a contract, measure the performance of a particular player at different positions, generate practice exercises, and determine if a particular player plays better on the road or at home. the visualizations used in our application apply information visualization techniques, such as glyphs, modified star plots, details on demand, color, and gestalt principles.

关键词： data visualisation details on demand dynamic visualizations glyphs information visualization techniques soccer data visualization soccer scoop soccer statistical analysis sport statistical analysis

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WCTAnalyze - Collecting, indexing, accessing and visualizing temporally indexed textual resources

WCTAnalyze - Collecting, indexing, accessing and visualizing...

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14th International symposium on Temporal Representation and Reasoning

作者： Gottwald, Sebastian Heyer, Gerhard Richter, Matthias Walde, Peter Univ Leipzig Nat Language Proc Grp D-7010 Leipzig Germany

ISBN: (纸本)9780769528366

We present WCTAnalyze, a novel tool for accessing and visually analyzing huge collections of temporally indexed textual data. It is motivated by applications such as media resonance analysis, business intelligence etc. that need to perform high level analytics on top of linguistically and statistically processed unstructured textual data.

关键词： data visualization

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Visual Analytics Methods for Interactively Exploring the Campus Lifestyle 14

Visual Analytics Methods for Interactively Exploring the Cam...

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14th IEEE Pacific visualization symposium (IEEE PacificVis)

作者： Liu, Liang Wang, Song Cai, Ting Li, Hanglin Zhao, Weixin Wu, Yadong Southwest Univ Sci & Technol Sch Comp Sci & Technol Mianyang Sichuan Peoples R China Sichuan Univ Sci & Engn Sch Comp Sci & Engn Zigong Peoples R China

ISBN: (纸本)9781665439312

Exploring campus lifestyle is conducive to innovating education management, optimizing campus resources allocation, and providing personalized services, but little attention had been paid to the exploration campus lifestyle. A novel interactive system based on behavioral data of campus cards is presented in this paper to provide new ideas and technical support for campus management. Interactive visualization techniques are utilized to help users analyze campus lifestyle via intelligible diagrams. the system contains three functional modules: providing a decision-making reference to educators on students' poverty subsidies, predicting students' academic performance by quantitative analysis, and scheduling cafeteria repast based on the scheduling model during the outbreak of COVID-19. Finally, three exploratory case studies are presented to demonstrate the effectiveness of the system.

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

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Exploratory User Study on Graph Temporal Encodings 14

Exploratory User Study on Graph Temporal Encodings

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14th IEEE Pacific visualization symposium (IEEE PacificVis)

作者： Filipov, Velitchko Arleo, Alessio Miksch, Silvia TU Wien Vienna Austria

ISBN: (纸本)9781665439312

A temporal graph stores and reflects temporal information associated with its entities and relationships. Such graphs can be utilized to model a broad variety of problems in a multitude of domains. Researchers from different fields of expertise are increasingly applying graph visualization and analysis to explore unknown phenomena, complex emerging structures, and changes occurring over time in their data. While several empirical studies evaluate the benefits and drawbacks of different network representations, visualizing the temporal dimension in graphs still presents an open challenge. In this paper we propose an exploratory user study with the aim of evaluating different combinations of graph representations. namely node-link and adjacency matrix, and temporal encodings, such as superimposition, juxtaposition and animation, on typical temporal tasks. the study participants expressed positive feedback toward matrix representations, with generally quicker and more accurate responses than with the node-link representation.

关键词： Human-centered computing visualization Empirical studies in visualization

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