@article{(Open Science Index):https://publications.waset.org/pdf/9683,
	  title     = {Analyzing Multi-Labeled Data Based on the Roll of a Concept against a Semantic Range},
	  author    = {Masahiro Kuzunishi and  Tetsuya Furukawa and  Ke Lu},
	  country	= {},
	  institution	= {},
	  abstract     = {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.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {4},
	  number    = {10},
	  year      = {2010},
	  pages     = {1616 - 1622},
	  ee        = {https://publications.waset.org/pdf/9683},
	  url   	= {https://publications.waset.org/vol/46},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 46, 2010},