# Predicting Fraudulent Claims in Automobile Insurance

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/predicting-fraudulent-claims-in-automobile-insurance/

## Facts

| Field | Value |
| --- | --- |
| Author Names | G. Kowshalya,M. Nandhini |
| Citations | 64 |
| DOI | 10.1109/icicct.2018.8473034 |
| Fields | Computer Science,Mathematics |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2892493782 |
| Type | conference-paper |
| Year | 2018 |

## Paper authors

- [M. Nandhini](https://scholariq.org/researchers/m-nandhini/)

## Paper primary topic

- [Imbalanced Data Classification Techniques](https://scholariq.org/topics/imbalanced-data-classification-techniques/)

## Paper topics

- [Imbalanced Data Classification Techniques](https://scholariq.org/topics/imbalanced-data-classification-techniques/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Advanced Statistical Methods and Models](https://scholariq.org/topics/advanced-statistical-methods-and-models/)

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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.