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DcPAIRS: A Pairs Plot Based Decision Support System DcPAIRS:基于对图的决策支持系统
Eurographics Conference on Visualization Pub Date : 2017-06-12 DOI: 10.2312/eurp.20171165
Evanthia Dimara, Paola Valdivia, C. Kinkeldey
{"title":"DcPAIRS: A Pairs Plot Based Decision Support System","authors":"Evanthia Dimara, Paola Valdivia, C. Kinkeldey","doi":"10.2312/eurp.20171165","DOIUrl":"https://doi.org/10.2312/eurp.20171165","url":null,"abstract":"Visualizations designed to support multi-attribute decisions often use colors to encode the identity of the attributes. This approach \u0000facilitates mapping of attributes across multiple coordinated views but it has certain limitations: colors often communicate \u0000semantics (e.g., red stands for “danger”) deemed to influence the user’s preference, and qualitative color palettes are \u0000of limited scalability. We are currently developing a tool with an alternative approach, DCPAIRS: a pairs plot based decision \u0000making support tool that employs a compact overview of the decision space and uses visual encodings that communicate uncertainty \u0000and suboptimal preference elicitation. Instead of encoding the identity of attributes we use colors for user-authored \u0000annotations to support the decision making process. A use case scenario of a prospective undergraduate student choosing a \u0000university from the “QS world university ranking” dataset illustrates the functionality of the tool.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"600 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116300229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
A Visual Approach for Text Analysis Using Multiword Topics 使用多词主题进行文本分析的可视化方法
Eurographics Conference on Visualization Pub Date : 2017-06-12 DOI: 10.2312/eurp.20171168
Seongmin Mun, Guillaume Desagulier, Kyungwon Lee
{"title":"A Visual Approach for Text Analysis Using Multiword Topics","authors":"Seongmin Mun, Guillaume Desagulier, Kyungwon Lee","doi":"10.2312/eurp.20171168","DOIUrl":"https://doi.org/10.2312/eurp.20171168","url":null,"abstract":"Topics in a text corpus include features and information; visualizing these topics can improve a user's understanding of the corpus. Topics can be broadly divided into two categories: those whose meaning can be described in one word and those whose meaning in expressed through a combination of words. The latter type can be described as multiword expressions and consists of a combination of different words. However, analysis of multiword topics requires systematic analysis to extract accurate topic results. Therefore, we propose a visual system that accurate extracts topic results with multiple word combinations. For this study, we utilize the text of 957 speeches from 43 U.S. presidents (from George Washington to Barack Obama) as corpus data. Our visual system is divided into two parts: First, our system refines the database by topic, including multiword topics. Through data processing, we systematically analyze the accurate extraction of multiword topics. In the second part, users can confirm the details of this result with a word cloud and simultaneously verify the result with the raw corpus. These two parts are synchronized and the desired value of N in the N-gram model, topics, and presidents examined can be altered. In this case study of U.S. presidential speech data, we verify the effectiveness and usability of our system.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131986671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Hypenet: Visualizing Dynamic Hypergraphs hypernet:可视化动态超图
Eurographics Conference on Visualization Pub Date : 2017-06-12 DOI: 10.2312/eurp.20171162
Paola Valdivia, P. Buono, Jean-Daniel Fekete
{"title":"Hypenet: Visualizing Dynamic Hypergraphs","authors":"Paola Valdivia, P. Buono, Jean-Daniel Fekete","doi":"10.2312/eurp.20171162","DOIUrl":"https://doi.org/10.2312/eurp.20171162","url":null,"abstract":"We present Hypenet, a novel technique to visualize dynamic hypergraphs. Such structures can model multiple types of data, such as computer networks with multiple destination addresses (multicast) or co-authorship networks with multiple authors per article. Hypenet visualizes the evolving topology of the hypergraph in a compact way, allowing users to detect patterns and inconsistencies. We describe our technique and show how it applies to the case of the history of publications of the Eurovis conference, revealing interesting patterns that enable the analyst to tell a story about data and create hypotheses.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128874564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Natural Language Interfaces for Data Analysis with Visualization: Considering What Has and Could Be Asked 可视化数据分析的自然语言接口:考虑什么已经和可能被要求
Eurographics Conference on Visualization Pub Date : 2017-06-12 DOI: 10.2312/eurovisshort.20171133
Arjun Srinivasan, J. Stasko
{"title":"Natural Language Interfaces for Data Analysis with Visualization: Considering What Has and Could Be Asked","authors":"Arjun Srinivasan, J. Stasko","doi":"10.2312/eurovisshort.20171133","DOIUrl":"https://doi.org/10.2312/eurovisshort.20171133","url":null,"abstract":"Natural language is emerging as a promising interaction paradigm for data analysis with visualization. Designing and implementing Natural Language Interfaces (NLIs) is a challenging task, however. In addition to being able to process and understand natural language expressions, NLIs for data visuailzation must consider other factors including input modalities, providing input affordances, and explaining system results, among others. In this article, we examine existing NLIs for data analysis with visualization, and compare and contrast them based on the tasks they allow people to perform. We discuss open research opportunities and themes for emerging NLIs in the visualization community. We also provide examples from the existing literature in the broader HCI community that may help explore some of the highlighted themes for future work. Our goal is to assist readers to understand the subtleties and challenges in designing NLIs and encourage the community to think further about NLIs for data analysis with visualization.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121172121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 60
TExVis: An Interactive Visual Tool to Explore Twitter Data TExVis:一个探索Twitter数据的交互式可视化工具
Eurographics Conference on Visualization Pub Date : 2017-06-12 DOI: 10.2312/eurovisshort.20171149
S. Humayoun, Saman Ardalan, Ragaad Altarawneh, A. Ebert
{"title":"TExVis: An Interactive Visual Tool to Explore Twitter Data","authors":"S. Humayoun, Saman Ardalan, Ragaad Altarawneh, A. Ebert","doi":"10.2312/eurovisshort.20171149","DOIUrl":"https://doi.org/10.2312/eurovisshort.20171149","url":null,"abstract":"Exploring tweets enables us understanding people’s reaction and feedback regarding any particular event or product. Many tools have been developed to visualize Twitter data based on some criteria, e.g., keyword frequency or evolution of topics. Visualizing the relations between the keywords of the underlying Twitter data opens another window to analyze the people’s reaction towards a particular event/product. Targeting this concern, our developed tool, called TExVis (Tweets Explorer and Visualizer), visualizes important keywords (e.g., hashtags, nouns, verbs) from the underlying tweets based on their frequency and shows the relations between them based on some criteria (e.g., the common tweets), using an extended Chord diagram. TExVis also visualizes the sentimental polarity for a better understanding of the keywords associated tweets. Further, the provided interaction, multi-level navigation, and filtering options help the users in better exploration of the underlying tweets. A user study with 16 participants shows a high acceptance towards the tool and our approach in general.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116063973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
BitConduite: Visualizing and Analyzing Activity on the Bitcoin Network BitConduite:可视化和分析比特币网络上的活动
Eurographics Conference on Visualization Pub Date : 2017-06-01 DOI: 10.2312/eurp.20171160
C. Kinkeldey, Jean-Daniel Fekete, Petra Isenberg
{"title":"BitConduite: Visualizing and Analyzing Activity on the Bitcoin Network","authors":"C. Kinkeldey, Jean-Daniel Fekete, Petra Isenberg","doi":"10.2312/eurp.20171160","DOIUrl":"https://doi.org/10.2312/eurp.20171160","url":null,"abstract":"BitConduite is a system we are developing for the visual exploration of financial activity on the Bitcoin network. Bitcoin is the largest digital pseudo-currency worldwide and its study is of increasing interest and importance to economists, bankers, policymakers, and law enforcement authorities. All financial transactions in Bitcoin are available in an openly accessible online ledger—the (Bitcoin) blockchain. Yet, the open data does not lend itself easily to an analysis of how different individuals and institutions—or entities on the network—actually use Bitcoin. Our system BitConduite offers a data transformation back end that gives us an entity-based access to the blockchain data and a visualization front end that supports a novel high-level view on transactions over time. In particular, it facilitates the exploration of activity through filtering and clustering interactions. We are developing our system with experts in economics and will conduct a formal user study to assess our approach of Bitcoin activity analysis.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133374161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 24
Error Estimates for Lagrangian Flow Field Representations 拉格朗日流场表示的误差估计
Eurographics Conference on Visualization Pub Date : 2016-06-06 DOI: 10.2312/eurovisshort.20161153
Mathias Hummel, R. Bujack, K. Joy, C. Garth
{"title":"Error Estimates for Lagrangian Flow Field Representations","authors":"Mathias Hummel, R. Bujack, K. Joy, C. Garth","doi":"10.2312/eurovisshort.20161153","DOIUrl":"https://doi.org/10.2312/eurovisshort.20161153","url":null,"abstract":"Computing power outpaces I/O bandwidth in modern high performance computers, which leads to temporal sparsity in flow simulation data. Experiments show that Lagrangian flow representations (where pathlines are retrieved from short-time flow maps using interpolation and concatenation) outperform their Eulerian counterparts in advection tasks under these circumstances. \u0000 \u0000Inspired by these results, we present the theoretical estimate of the Lagrangian error for individual pathlines, depending on the choice of temporal as well as spatial resolution. In-situ, this measure can be used to steer the output resolution and post-hoc, it can be used to visualize the uncertainty of the pathlines. To validate our theoretical bounds, we evaluate the measured and the estimated error for several example flow fields.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125621492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 14
Visual Analytics for Fraud Detection: Focusing on Profile Analysis 用于欺诈检测的可视化分析:侧重于特征分析
Eurographics Conference on Visualization Pub Date : 2016-06-06 DOI: 10.2312/eurp.20161138
R. Leite, T. Gschwandtner, S. Miksch, Erich Gstrein, Johannes Kuntner
{"title":"Visual Analytics for Fraud Detection: Focusing on Profile Analysis","authors":"R. Leite, T. Gschwandtner, S. Miksch, Erich Gstrein, Johannes Kuntner","doi":"10.2312/eurp.20161138","DOIUrl":"https://doi.org/10.2312/eurp.20161138","url":null,"abstract":"Financial institutions are always interested in ensuring security and quality for their customers. Banks, for instance, need to identify and avoid harmful transactions. In order to detect fraudulent operations, data mining techniques based on customer profile generation and verification are commonly used. However, these approaches are not supported by Visual Analytics techniques yet. We propose a Visual Analytics approach for supporting and fine-tuning profile analysis and reducing false positive alarms.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121728336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
User Interaction Visualization for Design Synthesis 设计综合的用户交互可视化
Eurographics Conference on Visualization Pub Date : 2016-06-06 DOI: 10.2312/eurp.20161128
A. Aselmaa, Yu Song, R. Goossens
{"title":"User Interaction Visualization for Design Synthesis","authors":"A. Aselmaa, Yu Song, R. Goossens","doi":"10.2312/eurp.20161128","DOIUrl":"https://doi.org/10.2312/eurp.20161128","url":null,"abstract":"Through the synthesis of gathered user research data, interaction designers are able to generate design proposals. Logging user interactions with a software provides a rich set of data that can give further insights into users' behavior. We present a case study of visualizing interactions log files of the manual tumor contouring task. We identify two types of visualizations needed for comprehending the tumor contouring process. Based on these visualizations, designer was able to gain a holistic view of the process, detailed understanding of the different phases of the task, and identify re-occurring interaction patterns.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134050544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Query by Visual Words: Visual Search for Scatter Plot Visualizations 按视觉词查询:散点图可视化的视觉搜索
Eurographics Conference on Visualization Pub Date : 2016-06-06 DOI: 10.2312/eurp.20161137
Lin Shao, T. Schleicher, T. Schreck
{"title":"Query by Visual Words: Visual Search for Scatter Plot Visualizations","authors":"Lin Shao, T. Schleicher, T. Schreck","doi":"10.2312/eurp.20161137","DOIUrl":"https://doi.org/10.2312/eurp.20161137","url":null,"abstract":"Finding interesting views in large collections of data visualizations, e.g., scatter plots, is challenging. Recently, ranking views based on heuristic quality measures has been proposed. However, quality measures may fail to reflect given user interest, since interestingness is strongly dependent on the application domain and user context. As an alternative, interactive exploration in combination with example based user queries can be used to find patterns of interest. We introduce a novel approach for searching in large sets of scatter plot views based on a dictionary of frequent local scatter plot patterns. The dictionary is used for interactive construction of scatter plot queries, taking into account similarity of local scatter plot patterns as well as their approximate location in the plot. We introduce the overall approach, present a glyph design for visualization of dictionary entries, and illustrate the applicability of our implementation.","PeriodicalId":224719,"journal":{"name":"Eurographics Conference on Visualization","volume":"165 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134296335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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