# MEOD: Memory-Efficient Outlier Detection on Streaming Data

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/meod-memory-efficient-outlier-detection-on-streaming-data/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ankita Karale,Milena Lazarova,Pavlina Koleva,Vladimir Poulkov |
| Citations | 7 |
| DOI | 10.3390/sym13030458 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2073-8994/13/3/458/pdf?version=1616029723 |
| OpenAlex ID | https://openalex.org/W3137345384 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Milena Lazarova](https://scholariq.org/researchers/milena-lazarova/)

## Paper journal

- [Symmetry](https://scholariq.org/journals/symmetry/)

## Paper primary topic

- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)

## Paper topics

- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Water Systems and Optimization](https://scholariq.org/topics/water-systems-and-optimization/)
- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.