Information Visualization最新文献_第5页

HyperCube4x: A viewport management system proposal HyperCube4x:一个视口管理系统方案

IF 2.3 4区计算机科学

Information Visualization Pub Date : 2022-11-30 DOI: 10.1177/14738716221137908

Alessandro Rego de Lima, Diana Carvalho, Tânia de Jesus Vilela da Rocha

引用次数: 0

Compressing and interpreting word embeddings with latent space regularization and interactive semantics probing 利用潜在空间正则化和交互式语义探测压缩和解释单词嵌入

IF 2.3 4区计算机科学

Information Visualization Pub Date : 2022-10-27 DOI: 10.1177/14738716221130338

Haoyu Li, Junpeng Wang, Yan-luan Zheng, Liang Wang, Wei Zhang, Han-Wei Shen

{"title":"Compressing and interpreting word embeddings with latent space regularization and interactive semantics probing","authors":"Haoyu Li, Junpeng Wang, Yan-luan Zheng, Liang Wang, Wei Zhang, Han-Wei Shen","doi":"10.1177/14738716221130338","DOIUrl":"https://doi.org/10.1177/14738716221130338","url":null,"abstract":"Word embedding, a high-dimensional (HD) numerical representation of words generated by machine learning models, has been used for different natural language processing tasks, for example, translation between two languages. Recently, there has been an increasing trend of transforming the HD embeddings into a latent space (e.g. via autoencoders) for further tasks, exploiting various merits the latent representations could bring. To preserve the embeddings’ quality, these works often map the embeddings into an even higher-dimensional latent space, making the already complicated embeddings even less interpretable and consuming more storage space. In this work, we borrow the idea of β VAE to regularize the HD latent space. Our regularization implicitly condenses information from the HD latent space into a much lower-dimensional space, thus compressing the embeddings. We also show that each dimension of our regularized latent space is more semantically salient, and validate our assertion by interactively probing the encoding-level of user-proposed semantics in the dimensions. To the end, we design a visual analytics system to monitor the regularization process, explore the HD latent space, and interpret latent dimensions’ semantics. We validate the effectiveness of our embedding regularization and interpretation approach through both quantitative and qualitative evaluations.","PeriodicalId":50360,"journal":{"name":"Information Visualization","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44274390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Contextual in situ help for visual data interfaces 可视化数据接口的上下文原位帮助

IF 2.3 4区计算机科学

Information Visualization Pub Date : 2022-09-09 DOI: 10.1177/14738716221120064

Pramod Chundury, M. A. Yalçın, Jon Crabtree, A. Mahurkar, Lisa M Shulman, N. Elmqvist

引用次数: 2

Visualisation of hierarchical multivariate data: Categorisation and case study on hate speech 分层多元数据的可视化:仇恨言论的分类和案例研究

IF 2.3 4区计算机科学

Information Visualization Pub Date : 2022-09-02 DOI: 10.1177/14738716221120509

E. Kavaz, A. Puig, I. Rodríguez, Reyes Chacón, David De-La-Paz, Adrià Torralba, Montserrat Nofre, M. Taulé

{"title":"Visualisation of hierarchical multivariate data: Categorisation and case study on hate speech","authors":"E. Kavaz, A. Puig, I. Rodríguez, Reyes Chacón, David De-La-Paz, Adrià Torralba, Montserrat Nofre, M. Taulé","doi":"10.1177/14738716221120509","DOIUrl":"https://doi.org/10.1177/14738716221120509","url":null,"abstract":"Multivariate hierarchical data has an important role in many applications. To find the best visualisation that best fits a concrete data is crucial to explore and understand the relationships between the data. This paper proposes a categorisation – Elongated and Compact – of hierarchical data based on the inner shapes of the hierarchies, that is the connectivity degree of the internal nodes, the number of nodes, etc, that can be applied to any hierarchical data. Based on this taxonomy, we explore implicit and explicit layouts – Tree, Circle Packing, Force and Radial – to provide users with a complete view of the data. We hypothesise that Tree and Circle Packing fit with Elongated structures, and Force and Radial fit with Compact ones. In addition, we cluster multivariate features to embed them in the hierarchical layouts. Especially, we propose two different glyphs –one-by-one and all-in-one, and we bet for the one-by-one glyphs as the most suitable for showing the distribution of several features along with the hierarchical structures. To validate our hypotheses, we conducted a user study with 35 participants using a hate speech annotated corpus. This corpus comes from 4359 comments posted in online Spanish newspapers. The results indicated that users preferred the Tree layout over the other three layouts (Circle, Force, Radial) with both types of structures (EC and CC). However, when we focused the analysis only on Radial and Force layouts, both of them scored significantly higher with Compact than with Elongated data. Moreover, participants scored the one-by-one glyph higher than the all-in-one glyph, but the difference was not significant.","PeriodicalId":50360,"journal":{"name":"Information Visualization","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47989547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Interactive optimization of embedding-based text similarity calculations 基于嵌入的文本相似度计算的交互式优化

IF 2.3 4区计算机科学

Information Visualization Pub Date : 2022-08-03 DOI: 10.1177/14738716221114372

D. Witschard, Ilir Jusufi, R. M. Martins, K. Kucher, A. Kerren

引用次数: 4

Emotion visualization system based on physiological signals combined with the picture and scene 基于生理信号与画面、场景相结合的情感可视化系统

IF 2.3 4区计算机科学

Information Visualization Pub Date : 2022-07-01 DOI: 10.1177/14738716221109146

Wenqian Lin, C. Li, Yunjian Zhang

引用次数: 2

Book Review: From Data to Stories: An end to end guide to Storytelling with Data Comics for the absolute beginner 书评：从数据到故事：面向初学者的数据漫画故事讲述端到端指南

IF 2.3 4区计算机科学

Information Visualization Pub Date : 2022-06-22 DOI: 10.1177/14738716221102927

M. S. Rana, Arnapurna Rath

引用次数: 1

ATOVis – A visualisation tool for the detection of financial fraud ATOVis–用于检测金融欺诈的可视化工具

IF 2.3 4区计算机科学

Information Visualization Pub Date : 2022-06-07 DOI: 10.1177/14738716221098074

Catarina Maçãs, Evgheni Polisciuc, P. Machado

{"title":"ATOVis – A visualisation tool for the detection of financial fraud","authors":"Catarina Maçãs, Evgheni Polisciuc, P. Machado","doi":"10.1177/14738716221098074","DOIUrl":"https://doi.org/10.1177/14738716221098074","url":null,"abstract":"Fraud detection is related to the suppression of possible financial losses for institutions and their clients. It is a task of high responsibility and, therefore, an important phase of the decision-making chain. Nowadays, experts in charge base their analysis on tabular data, usually presented in spreadsheets and seldom supplemented with simple visualisations. However, this type of inspection is laborious, time-consuming, and may be of little use for the analysis and overview of complex transactional data. To aid in the inspection of fraudulent activities, we develop ATOVis – a visualisation tool that enables a fast analysis and detection of suspicious behaviours. We aim to ease and accelerate fraud detection by providing an overview of specific patterns within the data, and enabling details on demand. ATOVis focuses on applying visualisation techniques to the Finance domain, specifically e-commerce, contributing to the state-of-the-art as the first visualisation tool primarily specialised in Account Takeover (ATO) patterns. In particular, the present paper incorporates: a task abstraction for detecting a specific financial fraud pattern – ATO; two models for the visualisation of ATO; and a multiscale timeline to enable an overview of the data. We also validate our tool through user testing, with experts in fraud detection and experts from other fields of data science. Based on the feedback provided by the analysts, we could conclude that ATOVis is an efficient and effective tool in detecting specific patterns of fraud which can improve the analysts’ work.","PeriodicalId":50360,"journal":{"name":"Information Visualization","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44219964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

VisAC: An interactive tool for visual analysis of consanguinity in the ancestry of individuals VisAC:一个可视化分析个人祖先血缘关系的交互式工具

IF 2.3 4区计算机科学

Information Visualization Pub Date : 2022-05-21 DOI: 10.1177/14738716221096383

J. Borges

{"title":"VisAC: An interactive tool for visual analysis of consanguinity in the ancestry of individuals","authors":"J. Borges","doi":"10.1177/14738716221096383","DOIUrl":"https://doi.org/10.1177/14738716221096383","url":null,"abstract":"Genealogy studies are growing in popularity, and researchers are increasingly using visualization methods to summarize and communicate their findings. A family tree is a visual representation of family members and their relationships that is commonly used to support the research of a family’s history and publish the results. In some cases, an ancestor may occur in more than one place in the lineage of an individual, which is one of the reasons for the occurrence of consanguineous marriages, that is, marriages between blood relative spouses. Current methods for family tree visualization were not designed to analyze and assess the level of consanguinity in the ancestry of individuals. This paper proposes VisAC, an interactive tool to support the visual analysis of consanguinity in individuals’ ancestry. The inbreeding coefficient is used as a measure of consanguinity. The coefficient corresponds to an estimate of the probability that two alleles (a variant of a given gene) in the DNA were inherited from the same individual. A visualization design and an interactive tool were developed with genealogists’ support. In addition, the feedback collected through a questionnaire about two demo videos and tests with three target users strongly supports the effectiveness of the family tree visual representation and the adequacy of the interactive tool for the exploratory analysis task. Real-world examples are given to illustrate the usefulness of the visualization design, and an example of exploratory analysis is presented to illustrate the use of the interactive tool. In summary, this work formulates the task of visual analysis of consanguinity in ancestors’ trees and proposes VisAC, a new visualization tool to support the task.","PeriodicalId":50360,"journal":{"name":"Information Visualization","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47730741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Visual cluster separation using high-dimensional sharpened dimensionality reduction 基于高维锐化降维的视觉聚类分离

IF 2.3 4区计算机科学

Information Visualization Pub Date : 2022-04-21 DOI: 10.1177/14738716221086589

Youngjoo Kim, Alexandru C Telea, Scott C Trager, Jos BTM Roerdink

引用次数: 0