Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

The ultimate Microsoft Fabric, Power BI, Azure AI & SQL learning event! Join us in Las Vegas from March 26-28, 2024. Use code MSCUST for a $100 discount. Register Now

Reply
abhishekkhare19
Regular Visitor

Anomaly detection

Power BI team recently launched a new feature of anomaly detection which automatically detects anomalies in your time series data. The only thing which we can adjust to play with data is sensitivity. You will get more anomalies data points if you increase sensitivity and vice versa. I checked entire article which explains this feature, checked the video and the algorithm(SR-CNN) behind that. I have also gone through a white paper on SR-CNN algorithm.

No where it is mentioned that how sensitivity is being used in that algorithm. How SR-CNN algorithm uses sensitivity for that purpose.

It will help us in understanding the effectiveness of process.

Any one got any idea on that? Thanks in advance.

1 ACCEPTED SOLUTION
v-janeyg-msft
Community Support
Community Support

Hi, @abhishekkhare19 

 

The SR-CNN algorithm is an advanced and novel algorithm that is based on Spectral Residual (SR) and Convolutional Neural Network (CNN) to detect anomaly on time-series.

I think few prople know this. Roughly speaking, this function in powerbi doesn't necessarily show 100% correct results. This kind of function is the same as prediction, detecting different possible data anomalies based on sensitivity.

Anomaly detection tutorial - Power BI | Microsoft Docs

Overview of SR-CNN algorithm in Azure Anomaly Detector - Microsoft Tech Community

 

Best Regards

Janey Guo

 

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

View solution in original post

1 REPLY 1
v-janeyg-msft
Community Support
Community Support

Hi, @abhishekkhare19 

 

The SR-CNN algorithm is an advanced and novel algorithm that is based on Spectral Residual (SR) and Convolutional Neural Network (CNN) to detect anomaly on time-series.

I think few prople know this. Roughly speaking, this function in powerbi doesn't necessarily show 100% correct results. This kind of function is the same as prediction, detecting different possible data anomalies based on sensitivity.

Anomaly detection tutorial - Power BI | Microsoft Docs

Overview of SR-CNN algorithm in Azure Anomaly Detector - Microsoft Tech Community

 

Best Regards

Janey Guo

 

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

Helpful resources

Announcements
Fabric Community Conference

Microsoft Fabric Community Conference

Join us at our first-ever Microsoft Fabric Community Conference, March 26-28, 2024 in Las Vegas with 100+ sessions by community experts and Microsoft engineering.

February 2024 Update Carousel

Power BI Monthly Update - February 2024

Check out the February 2024 Power BI update to learn about new features.

Fabric Career Hub

Microsoft Fabric Career Hub

Explore career paths and learn resources in Fabric.

Fabric Partner Community

Microsoft Fabric Partner Community

Engage with the Fabric engineering team, hear of product updates, business opportunities, and resources in the Fabric Partner Community.

Top Solution Authors