Open access peer-reviewed chapter

Immersive Visual Data Mining Based on Super High Definition Image

By Tetsuro Ogi, Yoshisuke Tateyama and So Sato

Submitted: May 20th 2011Reviewed: November 19th 2011Published: May 2nd 2012

DOI: 10.5772/36254

Downloaded: 1266

© 2012 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

Tetsuro Ogi, Yoshisuke Tateyama and So Sato (May 2nd 2012). Immersive Visual Data Mining Based on Super High Definition Image, Applications of Virtual Reality Cecilia Sik Lanyi, IntechOpen, DOI: 10.5772/36254. Available from:

Embed this chapter on your site Copy to clipboard

<iframe src="" />

Embed this code snippet in the HTML of your website to show this chapter

chapter statistics

1266total chapter downloads

1Crossref citations

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Next chapter

Realizing Semantic Virtual Environments with Ontology and Pluggable Procedures

By Yu-Lin Chu and Tsai-Yen Li

Related Book

First chapter

Virtual Environments in Physical Therapy

By Felix O. Akinladejo

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

+3,550 Open Access Books

+57,400 Citations in Web of Science

+108,500 IntechOpen Authors and Academic Editors

+560,000 Unique visitors per month

More about us