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Query-Based Outlier Detection in Heterogeneous Information Networks
Outlier or anomaly detection in large data sets is a fundamental task in data science, with broad applications. However, in real data sets with high-dimensional space, most outliers are hidden in certain dimensional combinations and are relative to a user’s search space and interest. It is often mor...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4825692/ https://www.ncbi.nlm.nih.gov/pubmed/27064397 http://dx.doi.org/10.5441/002/edbt.2015.29 |