43 results
- Go to itemThis workflow deploys a previously trained auto-regressive model for anomaly detection: - Select the date for deployment. Two mon…3
- Go to itemThis workflow performs anomaly detection using a control chart: - Calculate the "normal conditions" as the cumulative average +/-…3
- Go to itemThis workflow preprocesses and visualizes sensor data for anomaly detection: - Read FFT preprocessed data files with date, time, …2
- Go to itemThis workflow tests the performance of previously trained auto-regressive models for anomaly detection: - Filter the data to the …2
- Go to itemThis workflow trains an auto-regressive model for anomaly detection: - Filter the data to training data covering only normal func…1
- Go to itemThis workflow performs anomaly detection using a control chart: - Calculate the "normal conditions" as the average +/- 12 times t…1
- Go to itemIn this workflow I demonstrate how the Fourier Transform along with basic aggregations and rule settings can be used to automatic…1
- Go to itemDiscover anomalies / irregularities / Frauds(?) in contracts payment amounts via: - data visualization - basic stats - clustering…1
- Go to itemThis workflow shows the different options of training and executing a network using TF2 on the example of an autoencoder: Option …1
- Go to itemRead Keras model. Read deployment data, which are normalized into range [0,1]. Apply the Keras model to the deployment data, calc…1
- Go to itemThis workflow simply sends an email. It is called via a Call Workflow node from a parent workflow.1
- Go to itemPartition numeric input data into a training, test, and validation set. Normalize the data into range [0,1]. Build a Keras autoen…1
- Go to itemThis workflow instructs you to detect anomalies in contracts via the IQR, z-score, and isolation forest techniques. Furthermore, …0
- Go to itemDiscover anomalies / irregularities / Frauds(?) in contracts payment amounts via: - data visualization - basic stats - clustering…0
- Go to itemThis workflow instructs you to detect anomalies in contracts via the IQR, z-score, and isolation forest techniques. Furthermore, …0
- Go to itemThis workflow instructs you to detect anomalies in contracts via the IQR, z-score, and isolation forest techniques. Furthermore, …0
- Go to itemDiscover anomalies / irregularities / Frauds(?) in contracts payment amounts via: - data visualization - basic stats - clustering…0