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Designing a Streaming Algorithm for Outlier Detection in Data Mining—An Incremental Approach †
To design an algorithm for detecting outliers over streaming data has become an important task in many common applications, arising in areas such as fraud detections, network analysis, environment monitoring and so forth. Due to the fact that real-time data may arrive in the form of streams rather t...
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| Publicado no: | Sensors (Basel) |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7085525/ https://ncbi.nlm.nih.gov/pubmed/32110907 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20051261 |
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