@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}, }