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12 results

Filter
Isolation Forest
Credit card Fraud DBSCAN Outlier Z-score H2O Banking Autoencoder Box plot Analytics
+3
  1. Go to item
    Workflow
    Fraud Detection Techniques Comparison
    Credit card Fraud DBSCAN
    +6
    This workflow shows an overview of outlier detection techniques for credit card fraud detection. The performance of the technique…
    knime > Finance, Accounting, and Audit > Fraud Detection Techniques Comparison
    3
    knime
  2. Go to item
    Workflow
    H2O Isolation Forest for Outlier Detection Explained by Shapley Values
    H2O Machine learning Isolation Forest
    +4
    This tutorial shows how to train an H2O Model in KNIME. We will train an Isolation Forest Model to detect frauds, i.e. outliers o…
    paolotamag > Public > H2O_Isolation_Forest_Outlier_Detection_with_Shapley_Values
    2
    paolotamag
  3. Go to item
    Workflow
    Overview of Credit Card Fraud Detection Techniques
    Credit card Fraud DBSCAN
    +8
    This workflow shows an overview of credit card fraud detection techniques. The performances of the techniques are evaluated on th…
    knime > Finance, Accounting, and Audit > Overview of Credit Card Fraud Detection Techniques
    2
    knime
  4. Go to item
    Workflow
    Four Techniques for Outlier Detection
    Preprocessing Outlier Data cleaning
    +4
    This workflow accesses a sample of data from the airline dataset and detects outlier airports based on the average arrival delay …
    knime > Examples > 02_ETL_Data_Manipulation > 01_Filtering > 07_Four_Techniques_Outlier_Detection > Four_Techniques_Outlier_Detection
    1
    knime
  5. Go to item
    Workflow
    Fraud Detection by Unsupervised Learning
    Fraud Fraud detection Banking
    +8
    This workflow reads in the creditcard.csv file and trains and evaluates an Isolation Forest model that detects fraudulent transac…
    knime > Education > Learnathons > Fraud_Detection_Tutorial > Exercises > 02_Fraud_Detection_by_Unsupervised_Learning
    0
    knime
  6. Go to item
    Workflow
    Fraud Detection by Unsupervised Learning
    Fraud Fraud detection Banking
    +8
    This workflow reads in the creditcard.csv file and trains and evaluates an Isolation Forest model that detects fraudulent transac…
    knime > Education > Learnathons > Fraud_Detection_Tutorial > Solutions > 02_Fraud_Detection_by_Unsupervised_Learning
    0
    knime
  7. Go to item
    Workflow
    H2O Isolation Forest for Outlier Detection
    H2O Machine learning Isolation Forest
    +4
    This tutorial shows how to train an H2O Model in KNIME. We will train an Isolation Forest Model to detect frauds, i.e. outliers o…
    knime > Examples > 04_Analytics > 15_H2O_Machine_Learning > 08_H2O_Isolation_Forest_Outlier_Detection
    0
    knime
  8. Go to item
    Workflow
    Isolation Forest for Fraud Detection: Model Training
    Fraud H2o Isolation forest
    +3
    This workflow uses the KNIME H2O Machine Learning Integration to train an isolation forest model for fraud detection.
    knime > Examples > 50_Applications > 39_Fraud_Detection > 05_Isolation_Forest_for_Fraud_Detection_Training
    0
    knime
  9. Go to item
    Workflow
    Isolation Forest for Fraud Detection: Model Deployment
    Fraud detection Deployment Isolation forest
    +5
    This workflow reads the trained isolation forest model, as well as the new transaction and applies the model to it. Based on the …
    knime > Examples > 50_Applications > 39_Fraud_Detection > 06_Isolation_Forest_for_Fraud_Detection_Deployment
    0
    knime
  10. Go to item
    Workflow
    Four Techniques for Outlier Detection
    Preprocessing Outlier Data cleaning
    +4
    This workflow accesses a sample of data from the airline dataset and detects outlier airports based on the average arrival delay …
    dg-clarkston > Public > outlier_detection_techniques
    0
    dg-clarkston
  11. Go to item
    Workflow
    Fraud Detection Techniques Comparison
    Credit card Fraud DBSCAN
    +5
    This workflow shows an overview of outlier detection techniques for credit card fraud detection. The performance of the technique…
    marcelo_linero > Public > Fraud Detection Techniques Comparison
    0
    marcelo_linero
  12. Go to item
    Node / Learner
    H2O Isolation Forest Learner
    Analytics Integrations H2O Machine Learning
    +2
    Learns an Isolation Forest model using H2O . The model is learned unsupervised and can be used to detect anomalies or outliers by…
    0
    knime

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