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Anonymization workshop by Redfield

Regression Reading and pre-processing Visualizationandassessment Preparing hierarchies for anonymization Anonymized data Original data Predictioncomparison String ->Number Classification Original data Anonymized data Predictioncomparison This workflow was presented at workshop "GDPR Compliance through Advanced AnonymizationTechniques" by Redfield on May 19th, 2020.Creadits: Artem Ryasik and Jan LindquistIf you are interested more in data anonymization with Knime please contact us:info@redfield.se Read FIFA data setValueRisks before anonymizationClubHash nameIntegersDoubles75/25trees = 200,depth = 12Risks:originalvsanonymized 75/25trees = 200,depth = 12Read and updateAge hierarchySave the hierarchiesNode 474Binning Release clauseRelease clausedistributiontrees = 200,depth = 1275/2575/25Binning Release clausetrees = 200,depth = 12Color byRelease clauseColor byRelease clauseCSV Reader(deprecated) Create Hierarchy AnonymityAssessment Visualization ofthe QI attributes Club selector Create Hierarchy Anonymization String To Number String To Number Partitioning Tree Ensemble Learner(Regression) Tree Ensemble Predictor(Regression) AnonymityAssessment Pre-processing Partitioning Tree Ensemble Learner(Regression) Tree Ensemble Predictor(Regression) Prediction resultscomparison Hierarchy Reader Hierarchy Writer HierarchicalAnonymization Rule Engine Bar Chart Tree EnsembleLearner Tree EnsemblePredictor Partitioning Partitioning Tree EnsemblePredictor Rule Engine Tree EnsembleLearner Color Manager Color Appender Prediction resultscomparison Regression Reading and pre-processing Visualizationandassessment Preparing hierarchies for anonymization Anonymized data Original data Predictioncomparison String ->Number Classification Original data Anonymized data Predictioncomparison This workflow was presented at workshop "GDPR Compliance through Advanced AnonymizationTechniques" by Redfield on May 19th, 2020.Creadits: Artem Ryasik and Jan LindquistIf you are interested more in data anonymization with Knime please contact us:info@redfield.se Read FIFA data setValueRisks before anonymizationClubHash nameIntegersDoubles75/25trees = 200,depth = 12Risks:originalvsanonymized 75/25trees = 200,depth = 12Read and updateAge hierarchySave the hierarchiesNode 474Binning Release clauseRelease clausedistributiontrees = 200,depth = 1275/2575/25Binning Release clausetrees = 200,depth = 12Color byRelease clauseColor byRelease clauseCSV Reader(deprecated) Create Hierarchy AnonymityAssessment Visualization ofthe QI attributes Club selector Create Hierarchy Anonymization String To Number String To Number Partitioning Tree Ensemble Learner(Regression) Tree Ensemble Predictor(Regression) AnonymityAssessment Pre-processing Partitioning Tree Ensemble Learner(Regression) Tree Ensemble Predictor(Regression) Prediction resultscomparison Hierarchy Reader Hierarchy Writer HierarchicalAnonymization Rule Engine Bar Chart Tree EnsembleLearner Tree EnsemblePredictor Partitioning Partitioning Tree EnsemblePredictor Rule Engine Tree EnsembleLearner Color Manager Color Appender Prediction resultscomparison

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Created by: artem
Created at: 2019-08-07
On NodePit since: 2020-05-19
Last update: 2024-12-26
Created with KNIME version: v4.4.1

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