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  1. 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
  2. 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
    2
    iris
  3. 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
  4. 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
  5. 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
    iris
  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
    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
    Maarit
  8. 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
    1
    clearpeaks
  9. 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
    rs1
  10. 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
    simons
  11. 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
    Maarit
  12. 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 > Churn Prediction > 02_Deploying_a_Churn_Predictor
    1
    rs1
  13. Workflow
    Deploying a Sentiment Analysis Predictive Model - Deep Learning using an Recurrent Neural Network (RNN)
    Sentiment analysis Sentiment Deployment
    +3
    This workflow applies an RNN, trained on the Kaggle Dataset (https://www.kaggle.com/crowdflower/twitter-airline-sentiment), on ne…
    roberto_cadili > A Friendly Introduction to Codeless Deep Learning > RNN-LSTM Sentiment Analysis > Deploying Sentiment Predictor - Deep Learning
    0
    roberto_cadili
  14. Workflow
    Modelling Workflow with Integrated Deployment
    Integrated Deployment Deployment Capture
    +4
    This workflow shows a simple example of churn prediction with interactive threshold optimization. This workflow is used for showc…
    knime > Education > Courses > L3-PC KNIME Server Course - Life Sciences - Productionizing and Collaboration > Solutions > 05. Modelling Workflow with Integrated Deployment - solution
    0
    hayasaka
  15. Workflow
    Exporting Data - Solution
    Export Write Pmml
    +5
    Solution to the exercise 5 for KNIME User Training - Writing data to a file - Writing a model to a PMML model file - Creating a B…
    pau22nanda > Public > L1-DS KNIME Analytics Platform for Data Scientists - Basics > solutions > 05. Exporting Data - solution
    0
    pau22nanda
  16. Workflow
    Deployment - Solution
    Deployment File writer DB writer
    +4
    Solution to exercise 9 for the KNIME Analytics Platform for Data Wranglers course - Write data on an .xls file using the Excel Wr…
    tenalf > Public > L2-DW KNIME Analytics Platform for Data Wranglers - Advanced > Solutions > 09_Deployment_Solution
    0
    tenalf
  17. Workflow
    Modelling Workflow with Integrated Deployment
    Integrated Deployment Deployment Capture
    +4
    This workflow shows a simple example of churn prediction with interactive threshold optimization. This workflow is used for showc…
    knime > Education > Courses > L3-PC KNIME Server Course - Life Sciences - Productionizing and Collaboration > Exercises > 05. Modelling Workflow with Integrated Deployment
    0
    hayasaka
  18. Workflow
    Market Basket Analysis: Apply Association Rules
    Retail Association rules Recommandation engine
    +8
    This workflow takes pre-built association rules and applies them to a new set of data 1. Read Association Rules and Product data …
    santiagopc > Public > 16_MarketBasketAnalysis > 02_Apply_Association_Rules_for_MarketBasketAnalysis
    0
    santiagopc
  19. Workflow
    Deploying the wine alcohol predictor
    Deployment Data visualization Dataviz
    This workflow deploys a trained linear regression model and a normalization model into production to predict wine alcohol based o…
    emilio_s > Simple Examples > 1a. Deploying Linear Regression Model
    0
    emilio_s
  20. Workflow
    Market Basket Analysis: Apply Association Rules
    Retail Association rules Recommandation engine
    +7
    This workflow takes pre-built association rules and applies them to a new set of data
    hyuceyilmaz > Public > Example Workflows > Retail > Using Association Rules for Market Basket Analysis
    0
    hyuceyilmaz