Scientific Visualization: The Visual Extraction of Knowledge from Data appeared in a Bloglines search feed today. It looks very interesting, but I'm blogging about it as the page it comes from is far from a blog page. Bloglines (which, I think, calls anything with an RSS feed a blog) refers me back to this feed: http://www.springer.com/sgw/cda/rss/0,,1-10042-0-0-0,00.xml. The whole problem of typing RSS feeds (i.e. indicating if the feed is a blog, a news feed, a book release feed, etc.) is nothing new, but I'm wondering why no-one has jumped on this. Clearly, any explicit tagging approach is open to exploitation, but what would the exploitation be in this case? Spammers would, whatever tag they chose, be lying anyway (assuming that they don't label themselves as spam!)
Anyway, here's the abstract:
One of the greatest scientific challenges of the 21st century is how to master, organize and extract useful knowledge from the overwhelming flow of information made available by today’s data acquisition systems and computing resources. Visualization is the premium means of taking up this challenge. This book is based on selected lectures given by leading experts in scientific visualization during a workshop held at Schloss Dagstuhl, Germany. Topics include user issues in visualization, large data visualization, unstructured mesh processing for visualization, volumetric visualization, flow visualization, medical visualization and visualization systems. The book contains more than 350 color illustrations.
I'm really excited by the relationship between data mining - in which the computer makes inferences and selects which results to report - and data visualization - in which the designer determins a visualization of the data that best describes some set of relationships between data elements.
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