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Novo_​NovaBD

AutoEncoder: Non-Supervised

Isolation Forest: Non-Supervised

Random Forest - Supervisioned

Exploratory Data Analysis

Apply Network
Keras Network Executor
Excel Writer
FraudFound_P
Number to String
Minority classes
SMOTE
Random Forest Learner
Number to String
Table Partitioner
Table Partitioner
Rate
SMOTE
Random Forest Predictor
Scorer (JavaScript)
Random Forest Predictor
Scorer (JavaScript)
Random Forest Learner
Fraud vs Non fraud
Pie Chart
Excel Reader
Top: FraudFound_P = 0Bottom: FraudFound_P = 1
Row Splitter
2/3 of negatives (non-fraud)for training
Table Partitioner
1/3 of negativesand all positives (fraud)for validation
Concatenate
90% for training10% for validation
Table Partitioner
Min-max normalization
Normalizer
Normalizer (Apply)
Tratamento de Dados
MSE
Math Formula
Classify based on Threshold
Rule Engine
Threshold Value = K
Variable to Table Row
Optimização Threshold
Scorer (JavaScript)
Preparation and H2O Environment
Preparação
Exploratory Data Analysis (Fraud)
H2O Environment exit to Local Server
H2O to Table
Train with Loss function=MSEOptimizer=Adam
Keras Network Learner
Expression
H2O Isolation Forest Learner
Exploratory Data Analysis (Non-Fraud)
H2O Isolation Forest Predictor
Normalizer (Apply)
units:8activation: ReLU
Keras Dense Layer
Expression
Model Writer
units: 15activation: ReLU
Keras Dense Layer
Scorer (JavaScript)
shape: 21
Keras Input Layer
Best One
Scorer (JavaScript)
units: 15activation: ReLU
Keras Dense Layer
Expression
units: 21activation: sigmoid
Keras Dense Layer
Keras Network Writer
Scorer (JavaScript)

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: rodri
Created at: 2026-05-15
On NodePit since: 2026-05-17
Last update: 2026-05-17
Created with KNIME version: v5.11.0

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