---
license: gpl-3.0
task_categories:
- time-series-forecasting
tags:
- SMS
- fraud
- forecasting
pretty_name: SMS time series
---

# SMS Time series data for traffic and fraud forecasting

This dataset contains various time series from vendors.  

# Vendor A: 01.03.23-14.08.23

* TS_*_all - Count of all SMS
![](./images/A_all_01.03.23-14.08.23_hourly.png)
![](./images/A_all_01.03.23-14.08.23_15m.png)

# Vendor A: January

* TS_*_fraud - Count of fraud
![](./images/A_fraud_hourly.png)
![](./images/A_fraud_15m.png)
* TS_*_all - Count of all SMS
![](./images/A_all_hourly.png)
![](./images/A_all_15m.png)
* TS_*_hlrDelay - Mean values of hlr delay
![](./images/A_delay_hourly.png)
![](./images/A_delay_15m.png)

# Vendor B: January 1-8

* 1-8_TS_*_fraud - Count of fraud
![](./images/fraud_hourly.png)
![](./images/fraud_15m.png)
* 1-8_TS_*_all - Count of all SMS
![](./images/all_hourly.png)
![](./images/all_15m.png)
* 1-8_TS_*_hlrDelay - Mean values of hlr delay
![](./images/delay_hourly.png)
![](./images/delay_15m.png)