Pub Date : 2001-10-22DOI: 10.1109/INFVIS.2001.963285
E. Kleiberg, H. V. D. Wetering, J. V. Wijk
A new method for the visualization of huge hierarchical data structures is presented. The method is based on the observation that we can easily see the branches, leaves and their arrangement in a botanical tree, despite of the large number of elements. The strand model of Holton is used to convert an abstract tree into a geometric model. Non-leaf nodes are mapped to branches and child nodes to sub-branches. A naive application of this model leads to unsatisfactory results, hence it is tailored to suit our purposes better. Continuing branches are emphasized, long branches are contracted, and sets of leaves are shown as fruit. The method is applied to the visualization of directory structures. The elements, directories and files, as well as their relations can easily be extracted, thereby showing that the use of methods from botanical modeling can be effective for information visualization.
{"title":"Botanical visualization of huge hierarchies","authors":"E. Kleiberg, H. V. D. Wetering, J. V. Wijk","doi":"10.1109/INFVIS.2001.963285","DOIUrl":"https://doi.org/10.1109/INFVIS.2001.963285","url":null,"abstract":"A new method for the visualization of huge hierarchical data structures is presented. The method is based on the observation that we can easily see the branches, leaves and their arrangement in a botanical tree, despite of the large number of elements. The strand model of Holton is used to convert an abstract tree into a geometric model. Non-leaf nodes are mapped to branches and child nodes to sub-branches. A naive application of this model leads to unsatisfactory results, hence it is tailored to suit our purposes better. Continuing branches are emphasized, long branches are contracted, and sets of leaves are shown as fruit. The method is applied to the visualization of directory structures. The elements, directories and files, as well as their relations can easily be extracted, thereby showing that the use of methods from botanical modeling can be effective for information visualization.","PeriodicalId":131263,"journal":{"name":"IEEE Symposium on Information Visualization, 2001. INFOVIS 2001.","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130571707","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}
Pub Date : 2001-10-22DOI: 10.1109/INFVIS.2001.963278
Alan Keahey
This paper describes how focus+context techniques can be composed with other high-level visualization paradigms to mutual advantage. Examples are given showing composition both with a pan&zoom system, and with a treemap implementation. The examples illustrate how focus+context can be used as an exploration and navigation tool within those paradigms.
{"title":"Getting along: composition of visualization paradigms","authors":"Alan Keahey","doi":"10.1109/INFVIS.2001.963278","DOIUrl":"https://doi.org/10.1109/INFVIS.2001.963278","url":null,"abstract":"This paper describes how focus+context techniques can be composed with other high-level visualization paradigms to mutual advantage. Examples are given showing composition both with a pan&zoom system, and with a treemap implementation. The examples illustrate how focus+context can be used as an exploration and navigation tool within those paradigms.","PeriodicalId":131263,"journal":{"name":"IEEE Symposium on Information Visualization, 2001. INFOVIS 2001.","volume":"33 1-10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132914571","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}
Pub Date : 2001-10-22DOI: 10.1109/INFVIS.2001.963283
B. Shneiderman, M. Wattenberg
Treemaps, a space-filling method of visualizing large hierarchical data sets, are receiving increasing attention. Several algorithms have been proposed to create more useful displays by controlling the aspect ratios of the rectangles that make up a treemap. While these algorithms do improve visibility of small items in a single layout, they introduce instability over time in the display of dynamically changing data, and fail to preserve an ordering of the underlying data. This paper introduces the ordered treemap, which addresses these two shortcomings. The ordered treemap algorithm ensures that items near each other in the given order will be near each other in the treemap layout. Using experimental evidence from Monte Carlo trials, we show that compared to other layout algorithms ordered treemaps are more stable while maintaining relatively favorable aspect ratios of the constituent rectangles. A second test set uses stock market data.
{"title":"Ordered treemap layouts","authors":"B. Shneiderman, M. Wattenberg","doi":"10.1109/INFVIS.2001.963283","DOIUrl":"https://doi.org/10.1109/INFVIS.2001.963283","url":null,"abstract":"Treemaps, a space-filling method of visualizing large hierarchical data sets, are receiving increasing attention. Several algorithms have been proposed to create more useful displays by controlling the aspect ratios of the rectangles that make up a treemap. While these algorithms do improve visibility of small items in a single layout, they introduce instability over time in the display of dynamically changing data, and fail to preserve an ordering of the underlying data. This paper introduces the ordered treemap, which addresses these two shortcomings. The ordered treemap algorithm ensures that items near each other in the given order will be near each other in the treemap layout. Using experimental evidence from Monte Carlo trials, we show that compared to other layout algorithms ordered treemaps are more stable while maintaining relatively favorable aspect ratios of the constituent rectangles. A second test set uses stock market data.","PeriodicalId":131263,"journal":{"name":"IEEE Symposium on Information Visualization, 2001. INFOVIS 2001.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115079268","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}
Pub Date : 2001-10-22DOI: 10.1109/INFVIS.2001.963291
M. Tavanti, M. Lind
Since the introduction of graphical user interfaces (GUI) and two-dimensional (2D) displays, the concept of space has entered the information technology (IT) domain. Interactions with computers were re-encoded in terms of fidelity to the interactions with real environment and consequently in terms of fitness to cognitive and spatial abilities. A further step in this direction was the creation of three-dimensional (3D) displays which have amplified the fidelity of digital representations. However, there are no systematic results evaluating the extent to which 3D displays better support cognitive spatial abilities. The aim of this research is to empirically investigate spatial memory performance across different instances of 2D and 3D displays. Two experiments were performed. The displays used in the experimental situation represented hierarchical information structures. The results of the test show that the 3D display does improve performances in the designed spatial memory task.
{"title":"2D vs 3D, implications on spatial memory","authors":"M. Tavanti, M. Lind","doi":"10.1109/INFVIS.2001.963291","DOIUrl":"https://doi.org/10.1109/INFVIS.2001.963291","url":null,"abstract":"Since the introduction of graphical user interfaces (GUI) and two-dimensional (2D) displays, the concept of space has entered the information technology (IT) domain. Interactions with computers were re-encoded in terms of fidelity to the interactions with real environment and consequently in terms of fitness to cognitive and spatial abilities. A further step in this direction was the creation of three-dimensional (3D) displays which have amplified the fidelity of digital representations. However, there are no systematic results evaluating the extent to which 3D displays better support cognitive spatial abilities. The aim of this research is to empirically investigate spatial memory performance across different instances of 2D and 3D displays. Two experiments were performed. The displays used in the experimental situation represented hierarchical information structures. The results of the test show that the 3D display does improve performances in the designed spatial memory task.","PeriodicalId":131263,"journal":{"name":"IEEE Symposium on Information Visualization, 2001. INFOVIS 2001.","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114435557","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}
Pub Date : 2001-10-22DOI: 10.1109/INFVIS.2001.963274
Lucy T. Nowell, E. Hetzler, Ted Tanasse
Change blindness occurs when people do not notice changes in visible elements of a scene. If people use an information visualization system to compare document collection subsets partitioned by their time-stamps, change blindness makes it impossible for them to recognize even very major changes, let alone minor ones. We describe theories from cognitive science that account for the change blindness phenomenon, as well as solutions developed for two visual analysis tools, a dot plot (SPIRE Galaxies) and landscape (ThemeView(tm)) visualizations.
{"title":"Change blindness in information visualization: a case study","authors":"Lucy T. Nowell, E. Hetzler, Ted Tanasse","doi":"10.1109/INFVIS.2001.963274","DOIUrl":"https://doi.org/10.1109/INFVIS.2001.963274","url":null,"abstract":"Change blindness occurs when people do not notice changes in visible elements of a scene. If people use an information visualization system to compare document collection subsets partitioned by their time-stamps, change blindness makes it impossible for them to recognize even very major changes, let alone minor ones. We describe theories from cognitive science that account for the change blindness phenomenon, as well as solutions developed for two visual analysis tools, a dot plot (SPIRE Galaxies) and landscape (ThemeView(tm)) visualizations.","PeriodicalId":131263,"journal":{"name":"IEEE Symposium on Information Visualization, 2001. INFOVIS 2001.","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116934464","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}
Pub Date : 2001-10-22DOI: 10.1109/INFVIS.2001.963293
J. Brainerd, Barry G. Becker
We have developed an interactive, scalable visualization tool for analyzing the behavior of users of a web site. Our system not only shows site topology and traffic flow, but by segmenting site traffic data based on user attributes, including demographic data and purchase history, we can present a more complete picture of web site usage. This can lead to a more focussed analysis that allows direct comparison between user segments, and ultimately a deeper understanding of how users interact with a site. The tool is designed for real world use, and we present a usage study of the tool by analyzing the data of a failed "dot-com".
{"title":"Case study: e-commerce clickstream visualization","authors":"J. Brainerd, Barry G. Becker","doi":"10.1109/INFVIS.2001.963293","DOIUrl":"https://doi.org/10.1109/INFVIS.2001.963293","url":null,"abstract":"We have developed an interactive, scalable visualization tool for analyzing the behavior of users of a web site. Our system not only shows site topology and traffic flow, but by segmenting site traffic data based on user attributes, including demographic data and purchase history, we can present a more complete picture of web site usage. This can lead to a more focussed analysis that allows direct comparison between user segments, and ultimately a deeper understanding of how users interact with a site. The tool is designed for real world use, and we present a usage study of the tool by analyzing the data of a failed \"dot-com\".","PeriodicalId":131263,"journal":{"name":"IEEE Symposium on Information Visualization, 2001. INFOVIS 2001.","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122437951","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}
Pub Date : 2001-10-22DOI: 10.1109/INFVIS.2001.963277
James R. Eagan, M. J. Harrold, James A. Jones, J. Stasko
Large test suites are frequently used to evaluate software systems and to locate errors. Unfortunately, this process can generate a huge amount of data that is difficult to interpret manually. We have created a system, Tarantula, that visually encodes test data to help find program errors. The system uses a principled color mapping to represent source lines in passed and failed tests. It also provides a flexible user interface for examining different perspectives that show the behavior of the source code on test sets, ranging from individual tests, to important subsets such as the set of failed tests, to the entire test suite.
{"title":"Technical note: visually encoding program test information to find faults in software","authors":"James R. Eagan, M. J. Harrold, James A. Jones, J. Stasko","doi":"10.1109/INFVIS.2001.963277","DOIUrl":"https://doi.org/10.1109/INFVIS.2001.963277","url":null,"abstract":"Large test suites are frequently used to evaluate software systems and to locate errors. Unfortunately, this process can generate a huge amount of data that is difficult to interpret manually. We have created a system, Tarantula, that visually encodes test data to help find program errors. The system uses a principled color mapping to represent source lines in passed and failed tests. It also provides a flexible user interface for examining different perspectives that show the behavior of the source code on test sets, ranging from individual tests, to important subsets such as the set of failed tests, to the entire test suite.","PeriodicalId":131263,"journal":{"name":"IEEE Symposium on Information Visualization, 2001. INFOVIS 2001.","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128943359","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}
Pub Date : 2001-10-22DOI: 10.1109/INFVIS.2001.963286
Robert Kosara, S. Miksch, H. Hauser
We present a new technique called Semantic Depth of Field (SDOF) as an alternative approach to focus-and-context displays of information. We utilize a well-known method from photography and cinematography (depth-of-field effect) for information visualization, which is to blur different parts of the depicted scene in dependence of their relevance. Independent of their spatial locations, objects of interest are depicted sharply in SDOF, whereas the context of the visualization is blurred. In this paper, we present a flexible model of SDOF which can be easily adopted to various types of applications. We discuss pros and cons of the new technique, give examples of application, and describe a fast prototype implementation of SDOF.
{"title":"Semantic depth of field","authors":"Robert Kosara, S. Miksch, H. Hauser","doi":"10.1109/INFVIS.2001.963286","DOIUrl":"https://doi.org/10.1109/INFVIS.2001.963286","url":null,"abstract":"We present a new technique called Semantic Depth of Field (SDOF) as an alternative approach to focus-and-context displays of information. We utilize a well-known method from photography and cinematography (depth-of-field effect) for information visualization, which is to blur different parts of the depicted scene in dependence of their relevance. Independent of their spatial locations, objects of interest are depicted sharply in SDOF, whereas the context of the visualization is blurred. In this paper, we present a flexible model of SDOF which can be easily adopted to various types of applications. We discuss pros and cons of the new technique, give examples of application, and describe a fast prototype implementation of SDOF.","PeriodicalId":131263,"journal":{"name":"IEEE Symposium on Information Visualization, 2001. INFOVIS 2001.","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132773531","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}
Pub Date : 2001-10-22DOI: 10.1109/INFVIS.2001.963292
Todd Barlow, Padraic Neville
Decision trees are one of the most popular methods of data mining. Decision trees partition large amounts of data into smaller segments by applying a series of rules. Creating and evaluating decision trees benefits greatly from visualization of the trees and diagnostic measures of their effectiveness. This paper describes an application, EMTree Results Viewer, that supports decision tree analysis through the visualization of model results and diagnosis. The functionality of the application and the visualization techniques are revealed through an example of churn analysis in the telecommunications industry.
{"title":"Case study: visualization for decision tree analysis in data mining","authors":"Todd Barlow, Padraic Neville","doi":"10.1109/INFVIS.2001.963292","DOIUrl":"https://doi.org/10.1109/INFVIS.2001.963292","url":null,"abstract":"Decision trees are one of the most popular methods of data mining. Decision trees partition large amounts of data into smaller segments by applying a series of rules. Creating and evaluating decision trees benefits greatly from visualization of the trees and diagnostic measures of their effectiveness. This paper describes an application, EMTree Results Viewer, that supports decision tree analysis through the visualization of model results and diagnosis. The functionality of the application and the visualization techniques are revealed through an example of churn analysis in the telecommunications industry.","PeriodicalId":131263,"journal":{"name":"IEEE Symposium on Information Visualization, 2001. INFOVIS 2001.","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132199233","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}
Pub Date : 2001-10-22DOI: 10.1109/INFVIS.2001.963273
Marc Weber, M. Alexa, Wolfgang Müller
In this paper, we present a new approach for the visualization of time-series data based on spirals. Different to classical bar charts and line graphs, the spiral is suited to visualize large data sets and supports much better the identification of periodic structures in the data. Moreover, it supports both the visualization of nominal and quantitative data based on a similar visualization metaphor. The extension of the spiral visualization to 3D gives access to concepts for zooming and focusing and linking in the data set. As such, spirals complement other visualization techniques for time series and specifically enhance the identication of periodic patterns.
{"title":"Visualizing time-series on spirals","authors":"Marc Weber, M. Alexa, Wolfgang Müller","doi":"10.1109/INFVIS.2001.963273","DOIUrl":"https://doi.org/10.1109/INFVIS.2001.963273","url":null,"abstract":"In this paper, we present a new approach for the visualization of time-series data based on spirals. Different to classical bar charts and line graphs, the spiral is suited to visualize large data sets and supports much better the identification of periodic structures in the data. Moreover, it supports both the visualization of nominal and quantitative data based on a similar visualization metaphor. The extension of the spiral visualization to 3D gives access to concepts for zooming and focusing and linking in the data set. As such, spirals complement other visualization techniques for time series and specifically enhance the identication of periodic patterns.","PeriodicalId":131263,"journal":{"name":"IEEE Symposium on Information Visualization, 2001. INFOVIS 2001.","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115098075","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}
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