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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...
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| I publikationen: | Adv Database Technol |
|---|---|
| Huvudupphovsmän: | , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2015
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4825692/ https://ncbi.nlm.nih.gov/pubmed/27064397 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5441/002/edbt.2015.29 |
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