A framework for mining signatures from event sequences and its applications in healthcare data
This paper proposes a novel temporal knowledge representation and learning framework to perform large-scale temporal signature mining of longitudinal heterogeneous event data. The framework enables the representation, extraction, and mining of high-order latent event structure and relationships with...
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 35(2013), 2 vom: 15. Feb., Seite 272-85 |
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| Auteur principal: | |
| Autres auteurs: | , , , , |
| Format: | Article en ligne |
| Langue: | English |
| Publié: |
2013
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence |
| Sujets: | Journal Article Research Support, Non-U.S. Gov't |