Online biomedical publication classification using Multi-Instance Multi-Label algorithms with feature reduction

Dong Ren, Long Ma, Yanqing Zhang, Raj Sunderraman, Peter T. Fox, Angela R. Laird, Jessica A. Turner, Matthew D. Turner

Resultado de la investigación: Conference contribution

5 Citas (Scopus)

Resumen

Text annotation, the assignment of metadata to documents, requires significant time and effort when performed by humans. A variety of text mining methods have been used to automate this process, many of them based on either keyword extraction or word counts. However, when using keywords as text classification features, it is common to find that (1) the number of training instances is much less than the number of features extracted. This complexity affects text classification performance. Another challenge is (2) the assignment of multiple, non-exclusive labels to the documents (multi-label classification). This problem makes text classification more complicated when compared with single label classification. We use, as an example, a set of expertly labeled documents from the human functional neuroimaging literature, and we apply a Multi-instance Multi-label (MIML) classification algorithm to the problem. To address (1), we apply a feature reduction approach to reduce the feature dimension. For (2) we use an MIML algorithm called MIMLfast to implement the multi-label classification.

Idioma originalEnglish (US)
Título de la publicación alojadaProceedings of 2015 IEEE 14th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2015
EditoresPhilip Chen, Lotfi A. Zadeh, Ning Ge, Yingxu Wang, Xiaoming Tao, Jianhua Lu, Newton Howard, Bo Zhang
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas234-241
Número de páginas8
ISBN (versión digital)9781467372893
DOI
EstadoPublished - sept 11 2015
Evento14th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2015 - Beijing, China
Duración: jul 6 2015jul 8 2015

Serie de la publicación

NombreProceedings of 2015 IEEE 14th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2015

Other

Other14th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2015
País/TerritorioChina
CiudadBeijing
Período7/6/157/8/15

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Experimental and Cognitive Psychology

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