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Workflow_​Knime_​António&Vasco

Data Cleaning and Preparation

Data Exploration

Decision Models

Evaluation

https://www.kaggle.com/datasets/shriyashjagtap/fraudulent-e-commerce-transactions

Read Data Set CSV
CSV Reader
Handing Missing Vlues
Missing Value
Exclude <13 ages
Row Filter
There are no duplicates in the transaction ID
Duplicate Row Filter
Change Transaction Date
String to Date/Time (deprecated)
Handing Outliers
Numeric Outliers
Show Outliers
Box Plot
1st Model
Decision Tree
Resort Variables
Column Resorter
Count Fraud and Not Fraud
Value Counter
Join All Models
Joiner
Select Variables
Column Filter
4 th Model
Isolation Forest
Metrcis View
Dashboard
6 th Model
Artificial Network
5 th Model
Autoencoder
Show Device Used
Bar Chart
Add "Artificial Network"
Joiner
2 nd Model
Quantile
Exclude IP Adress
Column Filter
Add "Decision Tree"
Joiner
Age Classes
Rule Engine
DashBoard
Join "Isolation Forest"and "Autoencoder"
Joiner
3 rd Model
Distribution
Join "Quantile"and "Distribution"
Joiner
category to number variables
Category to Number
creation of the target variable
Rule Engine

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: user
Created at: 2025-04-15
On NodePit since: 2026-05-10
Last update: 2026-05-30
Created with KNIME version: v5.11.0

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