# MCoM: A Semi-Supervised Method for Imbalanced Tabular Security Data

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/mcom-a-semi-supervised-method-for-imbalanced-tabular-security-data/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Xiaodi Li,Latifur Khan,Mahmoud Zamani,Shamila Wickramasuriya,Kevin W. Hamlen,Bhavani Thuraisingham |
| Citations | 8 |
| DOI | 10.1007/978-3-031-10684-2_4 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://ifip.hal.science/hal-05667326 |
| OpenAlex ID | https://openalex.org/W4285025495 |
| Type | conference-paper |
| Year | 2022 |

## Paper authors

- [Xiaodi Li](https://scholariq.org/researchers/xiaodi-li/)

## Paper journal

- [Lecture notes in computer science](https://scholariq.org/journals/lecture-notes-in-computer-science/)

## 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/)
- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [Imbalanced Data Classification Techniques](https://scholariq.org/topics/imbalanced-data-classification-techniques/)

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