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.
| Original language | English |
|---|---|
| Pages (from-to) | 974-980 |
| Number of pages | 7 |
| Journal | World Academy of Science, Engineering and Technology |
| Volume | 46 |
| Publication status | Published - 2010 |
All Science Journal Classification (ASJC) codes
- Engineering(all)