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  1. Workflow
    Anomaly Detection. Time Series AR Deployment
    Anomaly detection Time series analysis Auto-regressive models
    +7
    This workflow deploys a previously trained auto-regressive model for anomaly detection: - Select the date for deployment. Two mon…
    knime > Examples > 50_Applications > 40_Anomaly_Detection > 03_Time_Series_AR_Deployment
    4
    knime
  2. Workflow
    Deploying a Churn Predictor
    ClearPeaks Employee attrition Birt report
    +4
    This workflow deploys an already trained churn predictor model to predict which employees are at risk of leaving the company.
    clearpeaks > Public > Deploying a Churn Predictor
    2
    clearpeaks
  3. Workflow
    Tool Migration: From Excel to Value with KNIME
    Automation Excel Machine Learning
    +4
    This workflow shows how using a no-code/low-code tool like KNIME Analytics Platform can substitute, expand and improve considerab…
    roberto_cadili > Public > Tool Migration - From Excel to Value with KNIME
    2
    roberto_cadili
  4. Workflow
    Continous Deployment - Modelling Workflow
    Integrated deployment KNIME Incpetion Continous
    +3
    This workflow is using Integrated Deployment in a complex Guided Analytics application hardcoded to work with a Churn Prediction …
    knime > Examples > 09_Enterprise > 04_Integrated_Deployment > 02_Continous_Deployment > 01_Modelling_Workflow
    2
    knime
  5. Workflow
    Production Workflow with Integrated Deployment
    Integrated deployment Capture Portobject
    +5
    This workflow shows a simple example of churn prediction with interactive threshold optimization. This workflow is used for showc…
    knime > Examples > 09_Enterprise > 04_Integrated_Deployment > 01_Machine_Learning_Deployment > 02_Machine_Learning_with_Integrated_Deployment > 02_Deployment_Workflow_with_Integrated_Deployment
    1
    knime
  6. Workflow
    Keras Autoencoder for Fraud Detection - Deployment
    Autoencoder Keras Neural network
    +15
    This workflow applies a trained autoencoder model to detect fraudulent transactions.
    kathrin > Codeless Deep Learning with KNIME > Chapter 5 > 02_Autoencoder_for_Fraud_Detection_Deployment
    1
    kathrin
  7. Workflow
    Training Workflow with Integrated Deployment
    Integrated Deployment Deployment Capture
    +3
    This workflow shows a simple example of churn prediction with interactive threshold optimization. This workflow is used for showc…
    knime > Examples > 09_Enterprise > 04_Integrated_Deployment > 01_Machine_Learning_Deployment > 02_Machine_Learning_with_Integrated_Deployment > 01_Modelling_Workflow_with_Integrated_Deployment
    1
    knime
  8. Workflow
    Deployment to a Dashboard
    TheGuideBook Deployment Dashboard
    +1
    This deployment workflow builds a simple dashboard. Reads a pre-trained decision tree model and applies it to new data to predict…
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter10 > 01_Deploy_on_Dashboard
    1
    knime
  9. Workflow
    Fraud Detection: Model Deployment
    Fraud Fraud detection Random forest
    +5
    This workflow, the deployment workflow, reads the trained model, as well as the new transaction and applies the model to classify…
    knime > Examples > 50_Applications > 39_Fraud_Detection > 02_Fraud_Detection_Deployment
    1
    knime
  10. Workflow
    Deploying a churn predictor
    Customer Intelligence CI Churn
    +4
    This workflow is an example of how to deploy a basic machine learning model (built in workflow "01_Training_a_Churn_Predictor") f…
    knime > Machine Learning and Marketing > Consumer Behavior > Churn Prediction > 02_Deploying_a_Churn_Predictor
    1
    knime
  11. Workflow
    Sentiment Analysis: JSON Input
    Sentiment Analysis Inference
    +4
    This workflow showcases how the Container Input (JSON) and Container Output (JSON) nodes can be used to create a REST API for a w…
    jtyler > KNIME-Edge-Server-Workflows > Example_Use_Cases > General > Sentiment Analysis > 02_Sentiment_Analysis_JSON_Input
    1
    jtyler
  12. Workflow
    Market Basket Analysis: Apply Association Rules
    Retail Association rules Recommandation engine
    +9
    This workflow takes pre-built association rules and applies them to a new set of data 1. Read Association Rules and Product data …
    knime > Examples > 50_Applications > 16_MarketBasketAnalysis > 02_Apply_Association_Rules_for_MarketBasketAnalysis
    1
    knime
  13. Workflow
    Model Deployment as REST API
    Deployment REST JSON
    +3
    This workflow demontstrates a mode of deploying a model with KNIME. The workflow receives new unseen data via a REST interface, s…
    knime > Examples > 50_Applications > 27_Deployment_Options > 03_Model_Deployment_as_REST_API
    1
    knime
  14. Workflow
    Model Deployment Dashboard WebPortal
    Deployment Model Prediction
    +5
    This workflow demontstrates a mode of deploying a model with KNIME. The workflow uploads new unseen data from a local file from a…
    knime > Examples > 50_Applications > 27_Deployment_Options > 04_Model_Deployment_dashboard_WebPortal
    1
    knime
  15. Workflow
    Keras Autoencoder for Fraud Detection Deployment
    Autoencoder Keras Neural network
    +16
    Read Keras model. Read deployment data, which are normalized into range [0,1]. Apply the Keras model to the deployment data, calc…
    knime > Examples > 50_Applications > 39_Fraud_Detection > 04_Keras_Autoencoder_for_Fraud_Detection_Deployment
    1
    knime
  16. Workflow
    Training Workflow Fraud Detection
    Integrated deployment Continous Model monitoring
    +4
    In this simple example a Random Forest model has been trained to detect potential Fraud Transactions. To train the model it has b…
    fitofeijoo > Public > 03_Examples > Fraud Detection > Level_3_Fraud Detection with Monitoring > Training > Training_workflow
    0
    fitofeijoo
  17. Workflow
    Group 3 Call Workflow
    Deployment Scheduling Model
    +5
    Task for Group 3 in KNIME Data Science Learnathon - Call a workflow stored locally or on KNIME Server - Use this workflow to pred…
    maarit > University Course > Learnathon UM April 21 > Challenges > Group3_Model_Deployment_(Demos) > Group3_Call_Workflow > Group3_Call_Workflow
    0
    maarit
  18. Workflow
    Group 3 Deployment Model
    Deployment Scheduling Model
    +5
    Task for Group 3 in KNIME Data Science Learnathon - Build a workflow that applies a model that can be called from an external app…
    maarit > University Course > Learnathon UM April 21 > Challenges > Group3_Model_Deployment_(Demos) > Group3_Call_Workflow > Group3_Deployment_Model
    0
    maarit
  19. Workflow
    Market Basket Analysis: Apply Association Rules
    Retail Association rules Recommandation engine
    +9
    This workflow takes pre-built association rules and applies them to a new set of data 1. Read Association Rules and Product data …
    falaimo > Public > ABIGAIL(M) > Market basket analysis > 02_Apply_Association_Rules_for_MarketBasketAnalysis
    0
    falaimo
  20. Workflow
    Group 3 Call Workflow
    Deployment Scheduling Model
    +5
    Task for Group 3 in KNIME Data Science Learnathon - Call a workflow stored locally or on KNIME Server - Use this workflow to pred…
    knime > Education > Learnathons > From_Raw_Data_To_Deployment > Learnathon > Challenges > Group3_Model_Deployment > Group3_Call_Workflow > Group3_Call_Workflow
    0
    knime