Analyzing multi-labeled data based on the roll of a concept against a semantic range

Masahiro Kuzunishi, Tetsuya Furukawa, Ke Lu

研究成果: Contribution to journalArticle査読

抄録

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.

本文言語英語
ページ(範囲)974-980
ページ数7
ジャーナルWorld Academy of Science, Engineering and Technology
46
出版ステータス出版済み - 2010

All Science Journal Classification (ASJC) codes

  • 工学(全般)

フィンガープリント

「Analyzing multi-labeled data based on the roll of a concept against a semantic range」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル