Data Mining Techniques for Fraud Analytics

AI, Technology & Digital · 5 Days · Public · Al-Khobraa certified · From USD 3,900

Overview

In an increasingly data-saturated world, organisations are grappling with growing volumes of transactions, interactions, and digital activity — all of which can mask sophisticated fraudulent behaviour. To uncover hidden risks and patterns, fraud professionals need more than just traditional detection tools — they need the ability to extract meaningful insights from complex datasets. This training course, *Data Mining Techniques for Fraud Analytics*, bridges the gap between raw data and actionable fraud intelligence.

Learning Objectives

• Understand the key concepts and methodologies of data mining
• Identify types of fraud that can be detected using data mining techniques
• Apply classification, clustering, and association techniques to detect anomalies and fraud patterns
• Evaluate the effectiveness of different data mining models in various fraud scenarios
• Understand data preparation, feature selection, and model evaluation within fraud analytics

Who Should Attend

This Data Mining Techniques for Fraud Analytics training course is designed for professionals working in fraud risk management, auditing, compliance, analytics, and data science roles, including:

• Fraud investigators and analysts
• Internal and external auditors
• Risk and compliance officers
• Data and business analysts
• Managers

Course Outline

Day 1 — Introduction to Data Mining and Fraud Analytics

• Understanding the scope of fraud and fraud analytics
• Introduction to data mining: objectives and process
• Types of fraud suitable for data mining approaches
• Key components of a fraud analytics program

Day 2 — Data Preparation and Exploration

• Identifying and sourcing relevant data for fraud analysis
• Data cleaning, transformation, and integration techniques
• Exploratory data analysis and visualization for anomaly detection
• Feature engineering and selection for fraud indicators

Day 3 — Classification and Prediction Models

• Introduction to classification techniques (decision trees, logistic regression, etc.)
• Training and validating predictive models for fraud detection
• Performance evaluation metrics: accuracy, precision, recall, ROC curves
• Overfitting, model tuning, and cross-validation strategies

Day 4 — Clustering and Association Techniques

• Understanding unsupervised learning in fraud analytics
• Clustering methods (K-means, DBSCAN) for behavioral analysis
• Market basket analysis and association rule mining
• Identifying fraudulent patterns through segmentation and link analysis

Day 5 — Integrating Data Mining into Fraud Strategy

• Building a data mining workflow for fraud detection
• Operationalizing fraud analytics models
• Ensuring model interpretability and business alignment
• Challenges and limitations of data mining in fraud prevention

Accreditation

Al-Khobraa certified. On completion delegates receive an Al-Khobraa certificate of achievement.

Dates & Venues

Dates	Venue	Delivery	Duration	Fee (USD)
13–17 September 2026	Riyadh, KSA	Public	5 days	3,900
5–9 October 2026	Botswana, Southern Africa	Public	5 days	4,500
7–11 December 2026	Tanzania, East Africa	Public	5 days	4,500
13–17 December 2026	Yanbu, KSA	Public	5 days	4,500

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Frequently Asked Questions

What do Al-Khobraa AI, technology and digital courses cover?

The portfolio covers cyber security, data analytics and data science, artificial intelligence (AI) and machine learning, Power BI and Excel for analysis, digital transformation and IT governance. Courses are applied — delegates work with real datasets and tools rather than slideware.

Who should attend an AI, technology or digital course?

These courses suit IT and cyber security staff, data and business analysts, engineers and operations professionals who work with plant or business data, digital transformation teams, and managers who commission or govern technology projects. Foundation-level courses assume no programming background.

How long are AI, technology and digital courses, and where are they held?

Most Al-Khobraa AI, technology and digital courses run over 5 days. The exact duration, dates and city for this course are listed in the dates section on this page. Public sessions run across Saudi Arabia — Riyadh, Jeddah, Al-Khobar, Jubail and Yanbu — as well as regional and international venues, with live virtual classrooms available on request.

What certificate will I receive?

Delegates who complete the course receive an Al-Khobraa certificate of completion, issued by a Saudi-registered training provider. Al-Khobraa also delivers internationally accredited programmes; where a course carries an external awarding body such as PMI, CIPS, ILM or IOSH, that body is named on the course's own page.

Can AI, technology and digital training be delivered in-house for our team?

Yes. Any Al-Khobraa AI, technology and digital course can be delivered in-house at your own premises anywhere in Saudi Arabia or the GCC, with the content, dates and language of delivery tailored to your team. Al-Khobraa is an approved HRDF (Hadaf) provider, so eligible Saudi employers can seek training support. Contact us for a quotation.

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