iv.cns.iu.edu

InfoVis CyberInfrastructure- Home

This web site provides access to a comprehehsive set of software packages easing the exploration, modification, comparison, and extension of data mining and information visualization algorithms. Diverse software packages were bundled into learning modules. Access to a large-scale data repository, extensive compute resources, and a growing set of references are provided as well. It is our hope that the community will adopt this resource to foster Information Visualization education and research.

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InfoVis CyberInfrastructure- Home | iv.cns.iu.edu Reviews

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This web site provides access to a comprehehsive set of software packages easing the exploration, modification, comparison, and extension of data mining and information visualization algorithms. Diverse software packages were bundled into learning modules. Access to a large-scale data repository, extensive compute resources, and a growing set of references are provided as well. It is our hope that the community will adopt this resource to foster Information Visualization education and research.

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InfoVis CyberInfrastructure- Home | iv.cns.iu.edu Reviews

https://iv.cns.iu.edu

This web site provides access to a comprehehsive set of software packages easing the exploration, modification, comparison, and extension of data mining and information visualization algorithms. Diverse software packages were bundled into learning modules. Access to a large-scale data repository, extensive compute resources, and a growing set of references are provided as well. It is our hope that the community will adopt this resource to foster Information Visualization education and research.

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iv.cns.iu.edu

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InfoVis CyberInfrastructure- Refences

http://iv.cns.iu.edu/ref/index.html

On-line Library of Information Visualization Environments. By Ben Shneiderman's group. Many relevant references are available from the HCIL web site at http:/ www.cs.umd.edu/hcil/pubs/tech-reports.shtml. There are also 35 HCIL videos available online at http:/ www.open-video.org/. Just search for hcil. Information Visualization Resources on the Web. By KDnuggets, or. Search the Open Directory Project for 'visualization'. Publications About This Resource. Katy Börner and Yuezheng Zhou: A Software Rep...

2

InfoVis CyberInfrastructure- Home

http://iv.cns.iu.edu/db/index.html

The database will accessbible online and it will interface the IVC software framework. While this infrastructure is set up, this web page provides information on data sets that will be available soon. Number of Entries: 11,693,477. Size: 135 MB (gunzipped). Number of Entries: 247,149. Size: 8.6 GB. Proceedings of the Natioanl Academy of Science (PNAS). Number of Entries: 16,169. United States Patent and Trademark Office (Patents). Number of Entries: 2,582,647. National Science Foundation (NSF).

3

InfoVis CyberInfrastructure- Compute Resources

http://iv.cns.iu.edu/cr/index.html

The analysis and visualization of large scale data sets requires access to advanced computing resource. Currently, a number of grid computing techniques (see Grid.org. Projects like Cancer Research, Anthrax Research, Smallpox Research Project, or IBM's Deep Thunder. As well as peer-to-peer (P2P) techniques and applications such as Seti@Home. And hoping for a convergence of the two fields (see recent article. By Foster and Iamnitchi) exist. We will aim to put the computation near the data.

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InfoVis Cyberinfrastructure - Learning Modules

http://iv.cns.iu.edu/lm/index.html

Most information visualizations are highly interactive. While a number of excellent textbooks exist, the two-dimensional printouts on paper often cannot convey their true visual appearance and interactive performance. Several textbooks come with accompanying web sites that contain snapshots of user interfaces as well as animations and movies. However, none of them facilitates the exploration, application, evaluation, and comparison of algorithms. Description of the data analysis and visualization task.

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InfoVis CyberInfrastructure- Software

http://iv.cns.iu.edu/sw/index.html

This page provides pointers to commonly used data analysis and visualization algorithms. An 'IVC Software Framework' was implemented to facilitate the easy integration of diverse software packages and their menu driven usage. Many software packages are available in Java and hence can be run on any platform that supports Java 1.4. Most software packages come with. The software was developed using J2SDK1.4, the Eclipse IDE, CVS for versioning and Ant as the build tool. J2EE will be used to provide ...We ho...

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This web site provides access to a comprehehsive set of software packages easing the exploration, modification, comparison, and extension of data mining and information visualization algorithms. Diverse software packages were bundled into learning modules. Access to a large-scale data repository, extensive compute resources, and a growing set of references are provided as well. It is our hope that the community will adopt this resource to foster Information Visualization education and research.

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