Journal of Visual Languages and Computing最新文献_第9页

Animated chorem-based summaries of geographic data streams from sensors in real time 基于动画编排的实时传感器地理数据流摘要

Journal of Visual Languages and Computing Pub Date : 2017-08-01 DOI: 10.1016/j.jvlc.2017.03.002

Zina Bouattou , Robert Laurini , Hafida Belbachir

{"title":"Animated chorem-based summaries of geographic data streams from sensors in real time","authors":"Zina Bouattou , Robert Laurini , Hafida Belbachir","doi":"10.1016/j.jvlc.2017.03.002","DOIUrl":"https://doi.org/10.1016/j.jvlc.2017.03.002","url":null,"abstract":"<div><p>This paper describes a new visualization approach for the automatic generation of visual summaries dealing with cartographic visualization methods and modeling of real time data coming from sensors. Indeed the concept of chorems seems an interesting candidate to visualize real time geographic database summaries. Chorems have been defined by Roger Brunet as schematized visual representations of territories. However, the time information is not yet handled in existing chorematic map approaches, that is the issue been discussed in this paper in which geodata are coming regularly from sensors distributed along some territory. Our approach is based on spatial analysis by interpolating the values recorded at the same time, so we have a number of distributed observations on areas of study. To get a better visual overview of the entire sensor geodata at a given time, we use spatial statistics formulas on the fly, and so it is possible to extract important spatiotemporal patterns and detect trends over time as geographic rules. Then, those spatiotemporal patterns are visualized as animated chorems. An example is taken from meteorology.</p></div>","PeriodicalId":54754,"journal":{"name":"Journal of Visual Languages and Computing","volume":"41 ","pages":"Pages 54-69"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jvlc.2017.03.002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72062024","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 personal visual analytics on smartphone usage data 智能手机使用数据的个人视觉分析

Journal of Visual Languages and Computing Pub Date : 2017-08-01 DOI: 10.1016/j.jvlc.2017.03.006

Fan Xiaoping , Peng Yanni , Zhao Ying , Li Yong , Meng Dan , Zhong Zengsheng , Zhou Fangfang , Lu Mingming

{"title":"A personal visual analytics on smartphone usage data","authors":"Fan Xiaoping , Peng Yanni , Zhao Ying , Li Yong , Meng Dan , Zhong Zengsheng , Zhou Fangfang , Lu Mingming","doi":"10.1016/j.jvlc.2017.03.006","DOIUrl":"https://doi.org/10.1016/j.jvlc.2017.03.006","url":null,"abstract":"<div><p>The percentage of individuals frequently using their smartphones in work and life is increasing steadily. The interactions between individuals and their smartphones can produce large amounts of usage data, which contain rich information about smartphone owners’ usage habits and their daily life. In this paper, a personal visual analytic tool is proposed to develop insights and discover knowledge of personal life in smartphone usage data. Four cooperated visualization views and many interactions are provided in this tool to visually explore the temporal features of various interactive events between smartphones and their users, the hierarchical associations among event types, and the detailed distributions of massive event sequences. In the case study, plenty of interesting patterns are discovered by analyzing the data of two smartphone users with different usage styles. We also conduct a one-month user study on several invited volunteers from our laboratory and acquaintance circle to improve our prototype system based on their feedback.</p></div>","PeriodicalId":54754,"journal":{"name":"Journal of Visual Languages and Computing","volume":"41 ","pages":"Pages 111-120"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jvlc.2017.03.006","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72061999","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: 4

HybridVis: An adaptive hybrid-scale visualization of multivariate graphs HybridVis：一种多变量图的自适应混合尺度可视化

Journal of Visual Languages and Computing Pub Date : 2017-08-01 DOI: 10.1016/j.jvlc.2017.03.008

Yuhua Liu , Changbo Wang , Peng Ye , Kang Zhang

{"title":"HybridVis: An adaptive hybrid-scale visualization of multivariate graphs","authors":"Yuhua Liu , Changbo Wang , Peng Ye , Kang Zhang","doi":"10.1016/j.jvlc.2017.03.008","DOIUrl":"https://doi.org/10.1016/j.jvlc.2017.03.008","url":null,"abstract":"<div><p>Existing network visualizations support hierarchical exploration, which rely on user interactions to create and modify graph hierarchies based on the patterns in the data attributes. It will take a relatively long time for users to identify the impact of different attributes on the cluster structure. To address this problem, this paper proposes a visual analytical approach, called HybridVis, creating an interactive layout to reveal clusters of obvious characteristics on one or more attributes at different scales. HybridVis can help people gain social insight and better understand the roles of attributes within a cluster. First, an approximate optimal graph hierarchy based on an energy model is created, considering both data attributes and relationships among data items. Then a layout algorithm and a level-dependent perceptual view for multi-scale graphs are proposed to show the attribute-driven graph hierarchy. Several views, which interact with each other, are designed in HybridVis, including a graphical view of the relationships among clusters; a cluster tree revealing the cluster scales and the details of attributes on parallel coordinates augmented with histograms and interactions. From the meaningful and globally approximate optimal abstraction, users can navigate a large multivariate graph with an overview+detail to explore and rapidly find the potential correlations between the graph structure and the attributes of data items. Finally, experiments using two real world data sets are performed to demonstrate the effectiveness of our methods.</p></div>","PeriodicalId":54754,"journal":{"name":"Journal of Visual Languages and Computing","volume":"41 ","pages":"Pages 100-110"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jvlc.2017.03.008","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72062000","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

Visual subspace clustering based on dimension relevance 基于维度相关性的视觉子空间聚类

Journal of Visual Languages and Computing Pub Date : 2017-08-01 DOI: 10.1016/j.jvlc.2017.05.003

Jiazhi Xia , Guang Jiang , YuHong Zhang , Rui Li , Wei Chen

引用次数: 14

Do UML object diagrams affect design comprehensibility? Results from a family of four controlled experiments UML对象图会影响设计的可理解性吗？四个对照实验的结果

Journal of Visual Languages and Computing Pub Date : 2017-08-01 DOI: 10.1016/j.jvlc.2017.06.002

Marco Torchiano , Giuseppe Scanniello , Filippo Ricca , Gianna Reggio , Maurizio Leotta

{"title":"Do UML object diagrams affect design comprehensibility? Results from a family of four controlled experiments","authors":"Marco Torchiano , Giuseppe Scanniello , Filippo Ricca , Gianna Reggio , Maurizio Leotta","doi":"10.1016/j.jvlc.2017.06.002","DOIUrl":"https://doi.org/10.1016/j.jvlc.2017.06.002","url":null,"abstract":"<div><p><em><strong>Objective</strong></em><span>: The main objective of our study is to assess whether the use of UML (Unified Modeling Language) object diagrams improves comprehensibility of software design when this kind of diagrams is added to UML class diagrams.</span></p><p><em><strong>Method</strong></em>: We have conducted a family of four controlled experiments. We involved groups of bachelor and master students.</p><p><em><strong>Results</strong></em>: Results suggest that the use of object diagrams does not always introduce significant benefits in terms of design comprehensibility. We found that benefits strongly depend on the experience of participants and their familiarity with UML. More experienced participants achieved better design comprehensibility when provided with both class and object diagrams, while less experienced seemed to be damaged when using class and object diagrams together. Results also showed the absence of substantial variations in the time needed to comprehend UML models, with or without object diagrams.</p><p><em><strong>Implications</strong></em>: Our results suggest that it is important to be aware and take into account experience and UML familiarity before using object diagrams in software modeling.</p></div>","PeriodicalId":54754,"journal":{"name":"Journal of Visual Languages and Computing","volume":"41 ","pages":"Pages 10-21"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jvlc.2017.06.002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72062023","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: 22

An SVD-Entropy and bilinearity based product ranking algorithm using heterogeneous data 基于SVD熵和双线性的异构数据产品排序算法

Journal of Visual Languages and Computing Pub Date : 2017-08-01 DOI: 10.1016/j.jvlc.2017.06.001

Chaman Lal Sabharwal , Bushra Anjum

{"title":"An SVD-Entropy and bilinearity based product ranking algorithm using heterogeneous data","authors":"Chaman Lal Sabharwal , Bushra Anjum","doi":"10.1016/j.jvlc.2017.06.001","DOIUrl":"https://doi.org/10.1016/j.jvlc.2017.06.001","url":null,"abstract":"<div><p>E-commerce websites, besides selling products and services, pay ample emphasis on providing a platform for consumers to share their opinions about past and potential purchases. They share such opinions as product reviews (star ratings, plain text, etc.) and answering product related questions (Q&A data). There are several machine learning and classification approaches available to scrutinize this review data, e.g., algorithms based on Entropy measures, Bilinear Similarity, stochastic methods, etc. In this paper, we review some of the prevalent review classification techniques<span> and present a hybrid approach, involving Singular Value Decomposition (SVD), Entropy and Bilinear Similarity measures, that uses heterogeneous product data and simultaneously analyze and rank products for customers. With experimental results, we show that our approach effectively ranks products using (1) text reviews (2) Q&A data (3) five-star rating of products and has 10% improved prediction accuracy as compared to the individual approaches. Also, using SVD, we achieve a 35% runtime efficiency for our algorithm while only sacrificing 1% of the prediction accuracy.</span></p></div>","PeriodicalId":54754,"journal":{"name":"Journal of Visual Languages and Computing","volume":"41 ","pages":"Pages 133-141"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jvlc.2017.06.001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72062026","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

Supporting group collaboration in an annotation system 支持注释系统中的组协作

Journal of Visual Languages and Computing Pub Date : 2017-08-01 DOI: 10.1016/j.jvlc.2017.04.004

Danilo Avola , Paolo Bottoni , Amjad Hawash

引用次数: 1

A visual analytics approach for flood risk analysis and decision-making in cultural heritage 文化遗产洪水风险分析和决策的可视化分析方法

Journal of Visual Languages and Computing Pub Date : 2017-08-01 DOI: 10.1016/j.jvlc.2017.05.001

Huibin Li , Jiawan Zhang , Jizhou Sun , Jindong Wang

引用次数: 20

Special issue on Big Data Visual Analytics 大数据可视化分析特刊

Journal of Visual Languages and Computing Pub Date : 2017-08-01 DOI: 10.1016/j.jvlc.2017.05.005

Quang Vinh Nguyen , Karsten Klein , Ulrich Engelke , Tomasz Bednarz , Julian Heinrich

引用次数: 1

From social community to spatio-temporal information: A new method for mobile data exploration 从社会共同体到时空信息：移动数据探索的新方法

Journal of Visual Languages and Computing Pub Date : 2017-08-01 DOI: 10.1016/j.jvlc.2017.05.002

Hongyu Jiang , Yadong Wu , Ye Zhang , Song Wang , Yangsong Zhang

引用次数: 4