49 results
- Go to itemIn this use case, we will use the NYC taxi dataset and a Random Forest to train a simple time series prediction model to predict …4
- Go to itemThis workflow performs anomaly detection using a control chart: - Calculate the "normal conditions" as the cumulative average +/-…3
- 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 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 itemIn this use case, we will use the NYC taxi dataset and a Random Forest to train a simple time series prediction model to predict …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 simply sends an email. It is called via a Call Workflow node from a parent workflow.1
- Go to itemThis workflow implements an alarm system for bycicle restocking at Washington bike stations. The dataset is the bike dataset. Pro…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 itemThis workflow handles the preprocessing of the NYC taxi dataset (loading, cleaning, filtering, etc). The NYC taxi dataset contain…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 itemThis workflow illustrates how to use the Simple Regression Tree nodes to predict the value of a numerical target column.0
- Go to itemLean Restocking Alert System: Combining Cumulocity (to manage IoT Devices, in this case bicycles) with KNIME (to visualize and an…0
- Go to itemThis workflow preprocesses and visualizes sensor data for anomaly detection: - Read FFT preprocessed data files with date, time, …0
- Go to itemThis workflow deploys a previously trained auto-regressive model for anomaly detection: - Select the date for deployment. Two mon…0
- Go to itemThis workflow uses the NYC taxi dataset and a Random Forest to train a simple time series prediction model to predict taxi demand…0
- Go to itemThis workflow applies a time series prediction model (Random Forest) to the NYC taxi dataset to predict taxi demand in the next h…0