Satisfying the basic requirements of accuracy and understandability of a classifier, decision tree classifiers have become very popular. Instead of constructing the decision tree ...
Mihael Ankerst, Christian Elsen, Martin Ester, Han...
Symbolic data analysis aims at generalizing some standard statistical data mining methods, such as those developed for classification tasks, to the case of symbolic objects (SOs). ...
Information synthesis is a key portion of the analysis process with visual analytics tools. This stage of work requires users to collect, organize, and add meaning to individual a...
teness of the knowledge bases, our approach also obtains facts through automated extraction from Medline abstracts. An essential component of our approach is to apply logical reaso...
In literature exist many links to translation of speech into sign language and links to gesturing with avatars. But the author cannot get any link to a visualization of background...