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Outlier detection
Education Fraud detection Anomaly detection Contracts Pdf Pdf documents Preprocessing Text processing Data manipulation
  1. Workflow
    Outlier Detection in Medical Claims
    Fraud detection Outlier detection
    This workflow identifies outliers in medical claim data such as claims with an unusual high cost for a certain disease. Firstly, …
    knime > Examples > 50_Applications > 14_Medical_Claims > 01_Interactive_Outlier_Detection
    2
    knime
  2. Workflow
    Outlier Dection / Fraud Detection in Contracts
    Fraud detection Anomaly detection Text processing
    +4
    Discover anomalies / irregularities / Frauds(?) in contracts payment amounts via: - data visualization - basic stats - clustering…
    rs1 > Public > Contracts_Fraud_Detection_Usecase_example
    1
    rs1
  3. Workflow
    Data Preprocessing for ML Models
    Preprocessing Partitioning Outlier detection
    +7
    This workflow demonstrates the following standard preprocessing steps before training a machine learning model: - Partitioning - …
    knime > Examples > 04_Analytics > 01_Preprocessing > 04_Data_Preprocessing_for_ML_Models
    1
    knime
  4. Workflow
    Anomaly Detection (Exercise)
    Fraud detection Anomaly detection Text processing
    +5
    This workflow instructs you to detect anomalies in contracts via the IQR, z-score, and isolation forest techniques. Furthermore, …
    hayasaka > KNIME Fall Summit Training 2022 > L4-DV Low Code Data Extraction and Visualization > Session_4 > 01_Exercises > 04_Anomaly_Detection_Exercise
    0
    hayasaka
  5. Workflow
    Outlier Dection / Fraud Detection in Contracts
    Fraud detection Anomaly detection Text processing
    +4
    Discover anomalies / irregularities / Frauds(?) in contracts payment amounts via: - data visualization - basic stats - clustering…
    chemgirl36 > Public Space > L4-DV Low Code Data Extraction and Visualization > Session_4 > 00_Demos > 01_Anomaly_Detection_Demo
    0
    chemgirl36
  6. Workflow
    Anomaly Detection (Exercise) - Solution
    Fraud detection Anomaly detection Text processing
    +5
    This workflow instructs you to detect anomalies in contracts via the IQR, z-score, and isolation forest techniques. Furthermore, …
    hayasaka > KNIME Fall Summit Training 2022 > L4-DV Low Code Data Extraction and Visualization > Session_4 > 02_Solutions > 04_Anomaly_Detection_Solution
    0
    hayasaka
  7. Workflow
    Anomaly Detection (Exercise)
    Fraud detection Anomaly detection Text processing
    +5
    This workflow instructs you to detect anomalies in contracts via the IQR, z-score, and isolation forest techniques. Furthermore, …
    chemgirl36 > Public Space > L4-DV Low Code Data Extraction and Visualization > Session_4 > 01_Exercises > 04_Anomaly_Detection_Exercise
    0
    chemgirl36
  8. Workflow
    Outlier Dection / Fraud Detection in Contracts
    Fraud detection Anomaly detection Text processing
    +4
    Discover anomalies / irregularities / Frauds(?) in contracts payment amounts via: - data visualization - basic stats - clustering…
    hayasaka > KNIME Fall Summit Training 2022 > L4-DV Low Code Data Extraction and Visualization > Session_4 > 00_Demos > 01_Anomaly_Detection_Demo
    0
    hayasaka
  9. Workflow
    Anomaly Detection (Exercise) - Solution
    Fraud detection Anomaly detection Text processing
    +5
    This workflow instructs you to detect anomalies in contracts via the IQR, z-score, and isolation forest techniques. Furthermore, …
    chemgirl36 > Public Space > L4-DV Low Code Data Extraction and Visualization > Session_4 > 02_Solutions > 04_Anomaly_Detection_Solution
    0
    chemgirl36
  10. Workflow
    Outlier Detection and Handling
    Outliers Numeric outliers Outlier detection
    Demonstrates techniques for viewing summary statistics of data as well as various methods of handling numeric outliers. Also demo…
    sjporter > Public > Outlier Detection and Handling > Outlier Detection and Handling
    0
    sjporter
  11. Workflow
    Outlier Detection
    Data manipulation Preprocessing Outlier detection
    +4
    Introduction to Machine Learning Algorithms course - Session 4 Exercise 3 Detect and remove outliers in the data using the follow…
    hayasaka > L4-ML-2Hrs-2021-07 > Exercises > 06_Outlier_Detection
    0
    hayasaka
  12. Workflow
    Outlier Detection - Solution
    Data manipulation Preprocessing Outlier detection
    +4
    Introduction to Machine Learning Algorithms course - Session 4 Solution to exercise 3 Detect and remove outliers in the data usin…
    hayasaka > L4-ML-2Hrs-2021-07 > Solutions > 06_Outlier_Detection_solution
    0
    hayasaka
  13. Workflow
    Outlier Detection - exercise
    Data manipulation Preprocessing Outlier detection
    +4
    Introduction to Machine Learning Algorithms course - Session 4 Exercise 3 Detect and remove outliers in the data using the follow…
    jiyeonee > Public > L4-ML Introduction to Machine Learning Algorithms > Session_4 > 01_Exercises > 03_Outlier_Detection
    0
    jiyeonee
  14. Workflow
    Outlier Detection - solution
    Data manipulation Preprocessing Outlier detection
    +4
    Introduction to Machine Learning Algorithms course - Session 4 Solution to exercise 3 Detect and remove outliers in the data usin…
    jiyeonee > Public > L4-ML Introduction to Machine Learning Algorithms > Session_4 > 02_Solutions > 03_Outlier_Detection_solution
    0
    jiyeonee
  15. Workflow
    Dimensionality Reduction & Outlier Detection
    TheGuideBook Outliers Outlier detection
    +6
    This workflow processes the adult dataset, containing people demographics, by eliminating columns with too many missing values or…
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter6 > 01_Column_Row_Filtering
    0
    knime
  16. Workflow
    Group 1 Data Access and Data Manipulation
    ETL Data access Preprocessing
    +6
    Tasks for Group 1 in KNIME Data Science Learnathon - Access data - Preprocess data by filtering rows, filtering columns, converti…
    maarit > University Course > Learnathon UM April 21 > Challenges > Group1_Data_Access_and_Data_Manipulation > Group1_Data_Access_and_Data_Manipulation
    0
    maarit
  17. 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
  18. 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
  19. Workflow
    Group 1 Data Access and Data Manipulation
    ETL Data access Preprocessing
    +6
    Tasks for Group 1 in KNIME Data Science Learnathon - Access data - Preprocess data by filtering rows, filtering columns, converti…
    knime > Education > Learnathons > From_Raw_Data_To_Deployment > Learnathon > Challenges > Group1_Data_Access_and_Data_Manipulation > Group1_Data_Access_and_Data_Manipulation
    0
    knime
  20. Workflow
    Group 1 Data Access and Data Manipulation
    ETL Data access Preprocessing
    +6
    Solution to the tasks for Group 1 in KNIME Data Science Learnathon - Access data - Preprocess data by filtering rows, filtering c…
    knime > Education > Learnathons > From_Raw_Data_To_Deployment > Learnathon-Solutions > Group1_Data_Access_and_Data_Manipulation > Group1_Data_Access_and_Data_Manipulation
    0
    knime