Olivier Couturier, T. Hamrouni, S. Yahia, E. Nguifo
{"title":"A scalable association rule visualization towards displaying large amounts of knowledge","authors":"Olivier Couturier, T. Hamrouni, S. Yahia, E. Nguifo","doi":"10.1109/IV.2007.16","DOIUrl":"https://doi.org/10.1109/IV.2007.16","url":null,"abstract":"Providing efficient and easy-to-use graphical tools to users is a promising challenge of data mining (DM). These tools must be able to generate explicit knowledge and to restitute it. Visualization techniques have shown to be an efficient solution to achieve such goal. Even though considered as a key step in the mining process, the visualization step of association rules received much less attention than that paid to the extraction one. Nevertheless, some graphical tools have been developed to extract and visualize association rules. In those tools, various approaches are proposed to filter the huge number of association rules before the visualization step. However both DM steps (association rule extraction and visualization) are treated separately in a one way process. Our approach differs, and uses meta-knowledge to guide the user during the mining process. Standing at the crossroads of DM and Human-Computer Interaction (HCI), we present an integrated framework covering both steps of the DM process. Furthermore, our approach can easily integrate previous techniques of association rule visualization.","PeriodicalId":177429,"journal":{"name":"2007 11th International Conference Information Visualization (IV '07)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134452684","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}
{"title":"On Visualization of Cocitation Networks","authors":"T. Chen, Liang Chi Hsieh","doi":"10.1109/IV.2007.86","DOIUrl":"https://doi.org/10.1109/IV.2007.86","url":null,"abstract":"The visualization of a cocitation network is a useful technique for information scientists. The technique will help to illustrate the intellectual structure of a given knowledge domain. We hope our results will improve on current tools with regard to user interface interactivity and scale better for larger data sets. We developed a tool, with the visualizing cocitation network in mind, by using an open-sourced toolkit for interactive information visualization to address some of these inadequacies. This tool exhibits cocitation graphs with latent visual cues and allows direct interaction with the visualized graphs. We demonstrated the visualized effects of this tool and complemented the results with its domain content analysis in a case study.","PeriodicalId":177429,"journal":{"name":"2007 11th International Conference Information Visualization (IV '07)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131243071","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}
{"title":"Everyday Life Discoveries: Mining and Visualizing Activity Patterns in Social Science Diary Data","authors":"K. Vrotsou, K. Ellegård, M. Cooper","doi":"10.1109/IV.2007.48","DOIUrl":"https://doi.org/10.1109/IV.2007.48","url":null,"abstract":"The ability to identify and examine patterns of activities is a key tool for social and behavioural science. In the past this has been done by statistical or purely visual methods but automated sequential pattern analysis through sophisticated data mining and visualization tools for pattern location and evaluation can open up new possibilities for interactive exploration of the data. This paper describes the addition of a sequential pattern identification method to the visual activity-analysis tool, VISUAL-TimePAcTS, and its effectiveness in the process of pattern analysis in social science diary data. The results have shown that the method correctly identifies patterns and conveys them effectively to the social scientist in a manner that allows them quick and easy understanding of the significance of the patterns.","PeriodicalId":177429,"journal":{"name":"2007 11th International Conference Information Visualization (IV '07)","volume":"72 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130753861","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}
{"title":"Building for Users not for Experts: Designing a Visualization of the Literature Domain","authors":"Sarah Faisal, P. Cairns, A. Blandford","doi":"10.1109/IV.2007.32","DOIUrl":"https://doi.org/10.1109/IV.2007.32","url":null,"abstract":"As researchers we are constantly working with academic literature. Literature data is growing exponentially. Interacting with this huge amount of information has been a challenge for the field of HCI for years. The goal is to assist users in making sense of this information by producing usable designs. Information Visualization (InfoVis) augments users' cognition when interacting with complex data structures. Although the use of InfoVis as a tool for representing literature data is not new, we have found that most of the existing Literature Knowledge Domain Visualizations (LKDViz) target specialists known as domain analysts who study publication patterns. Our goal is to design a LKDViz tool for academic users. Due to the diversity of academic literature users we captured their experiences and used it as the main source for our design. Interestingly, this method generated design criteria that have not been applied in most of the academic literature visualizations.","PeriodicalId":177429,"journal":{"name":"2007 11th International Conference Information Visualization (IV '07)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114225698","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}
{"title":"Interactive Tag Maps and Tag Clouds for the Multiscale Exploration of Large Spatio-temporal Datasets","authors":"A. Slingsby, J. Dykes, J. Wood, K. Clarke","doi":"10.1109/IV.2007.71","DOIUrl":"https://doi.org/10.1109/IV.2007.71","url":null,"abstract":"'Tag clouds' and 'tag maps' are introduced to represent geographically referenced text. In combination, these aspatial and spatial views are used to explore a large structured spatio-temporal data set by providing overviews and filtering by text and geography. Prototypes are implemented using freely available technologies including Google Earth and Yahoo! 's Tag Map applet. The interactive tag map and tag cloud techniques and the rapid prototyping method used are informally evaluated through successes and limitations encountered. Preliminary evaluation suggests that the techniques may be useful for generating insights when visualizing large data sets containing geo-referenced text strings. The rapid prototyping approach enabled the technique to be developed and evaluated, leading to geovisualization through which a number of ideas were generated. Limitations of this approach are reflected upon. Tag placement, generalisation and prominence at different scales are issues which have come to light in this study that warrant further work.","PeriodicalId":177429,"journal":{"name":"2007 11th International Conference Information Visualization (IV '07)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125142293","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}
{"title":"Color LinesView:AnApproach toVisualization of Families of Function Graphs","authors":"K. Matkovič, D. Gračanin, Z. Konyha, H. Hauser","doi":"10.1109/IV.2007.35","DOIUrl":"https://doi.org/10.1109/IV.2007.35","url":null,"abstract":"Data sets often include information that can be represented as a mapping that describes how a dependent variable depends on an independent variable. Such a mapping, usually represented as a function graph, can be parameterized to provide a family of function graphs. The challenge is how to efficiently aggregate individual function graph views to represent the whole family and allow visual analysis and search for patterns. We propose a novel view, called the color lines view, which provides a two dimensional, rectangular view where each line represents a single function graph. The points on the line correspond to values of the independent variable. The point colors represent the value of the dependent variable. The lines, placed next to each other in parallel, show a family of function graphs. The color lines view offers sorting and brushing features which support visual analysis procedures that are difficult to perform with previously existing views.","PeriodicalId":177429,"journal":{"name":"2007 11th International Conference Information Visualization (IV '07)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127930459","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}
Pierre-Yves Koenig, G. Melançon, C. Bohan, B. Gautier
{"title":"Combining DagMaps and Sugiyama Layout for the Navigation of Hierarchical Data","authors":"Pierre-Yves Koenig, G. Melançon, C. Bohan, B. Gautier","doi":"10.1109/IV.2007.36","DOIUrl":"https://doi.org/10.1109/IV.2007.36","url":null,"abstract":"This paper presents a novel technique for exploring and navigating large hierarchies, not restricted to trees but to directed acyclic graphs (DAGs). The technique combines two different visualizations emphasizing different points of view the user can adopt when analyzing the content of the hierarchy. Usual hierarchical (node-link) layout reflect the relative position of nodes in the hierarchy while a variation of a treemap emphasizes node attributes. The classical treemap algorithm has been adapted in order to deal with DAGs. Linking the two views enables the user to visually and interactively explore elements of the hierarchy with respect to selected attributes, while being able to locate the node in the DAG.","PeriodicalId":177429,"journal":{"name":"2007 11th International Conference Information Visualization (IV '07)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126656649","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}
A. Eshaq, Musstanser Tinauli, Mohamad Izani Zainal Abidin
{"title":"High Dynamic Range Images: Evolution, Applications and Suggested Processes","authors":"A. Eshaq, Musstanser Tinauli, Mohamad Izani Zainal Abidin","doi":"10.1109/IV.2007.63","DOIUrl":"https://doi.org/10.1109/IV.2007.63","url":null,"abstract":"Three dimensional (3D) and computer graphics (CG) industries nowadays require 'instant' realism and extreme special effects while imposing the balance in cost, time and solution acceptance standard. It has been known that realistic rendering is time consuming, difficult to use, complex, expensive and often produces insufficient digital output to predict particularly in the early visualization process. This paper focuses on one of the emerging technologies, High dynamic range image (HDRI) and how it can be developed in achieving effective solution, while maintaining 'realism' or required result based on a specific application. We firstly introduce the overall HDRI processes before continue to present a framework of captured low density range image (LDRI) source sequence effectively in HDRI environment. This paper concludes with discussions and lists the application of HDRI.","PeriodicalId":177429,"journal":{"name":"2007 11th International Conference Information Visualization (IV '07)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116220370","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}
{"title":"Narrative based Topic Visualization for Chronological Data","authors":"Mina Akaishi, Yoshikiyo Kato, K. Satoh, K. Hori","doi":"10.1109/IV.2007.80","DOIUrl":"https://doi.org/10.1109/IV.2007.80","url":null,"abstract":"This paper proposes several methods visualizing topics in documents, (i) Word Colony represents the dependency relationships among term occurrences in a target document. It helps users get an overview of a document. Using Word Colony with pictures gives users a more intuitive impression, (ii) topic sequence is a concatenation of Word Colonies for segmented documents. It shows plots as a story's topic transitions. (Hi) topic matrix represents relations among topics based on latent contexts within a collection of documents. Several visualization techniques enable users to visualize topics in a document in different ways. It gives variations of viewpoint and triggers the creative imagination.","PeriodicalId":177429,"journal":{"name":"2007 11th International Conference Information Visualization (IV '07)","volume":"17 17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115685323","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}
Ricardo Melo Casseb do Carmo, B. Meiguins, A. Meiguins, S. Pinheiro, Leonardo Hernandez Almeida, P. Godinho
{"title":"Coordinated and Multiple Views in Augmented Reality Environment","authors":"Ricardo Melo Casseb do Carmo, B. Meiguins, A. Meiguins, S. Pinheiro, Leonardo Hernandez Almeida, P. Godinho","doi":"10.1109/IV.2007.38","DOIUrl":"https://doi.org/10.1109/IV.2007.38","url":null,"abstract":"The paper presents a prototype that implements multiple coordinated views to information visualization in augmented reality environments. Augmented reality provides more intuitive and easy interaction. It also reduces the limitations of visualization and enhances the collaborative aspect. A modified version of ARToolKit has been used to create the augmented environment, and the 3D scatter plot technique has been developed to represent the multiple views of data. The coordination between views supported dynamic queries, data selection, and the configuration of views and of the detail on demand feature. This paper also reproduces literature usability tests based on tasks in order to analyze the viability to implement multiple coordinated views in augmented environments for information visualization.","PeriodicalId":177429,"journal":{"name":"2007 11th International Conference Information Visualization (IV '07)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116531129","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}