%0 Journal Article
	%A Masahiro Kuzunishi and  Tetsuya Furukawa and  Ke Lu
	%D 2010
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 46, 2010
	%T Analyzing Multi-Labeled Data Based on the Roll of a Concept against a Semantic Range
	%U https://publications.waset.org/pdf/9683
	%V 46
	%X Classifying data hierarchically is an efficient approach
to analyze data. Data is usually classified into multiple categories, or
annotated with a set of labels. To analyze multi-labeled data, such
data must be specified by giving a set of labels as a semantic range.
There are some certain purposes to analyze data. This paper shows
which multi-labeled data should be the target to be analyzed for
those purposes, and discusses the role of a label against a set of
labels by investigating the change when a label is added to the set of
labels. These discussions give the methods for the advanced analysis
of multi-labeled data, which are based on the role of a label against
a semantic range.
	%P 1616 - 1622