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Data Mining Techniques for Fraud Analytics

An Interactive 5-Day Training Course

Data Mining Techniques for Fraud Analytics

Uncovering Hidden Patterns and Anomalies to Strengthen Fraud Detection Efforts

NASBA
Classroom Schedule
Date Venue Fees
04 - 08 May 2026 Dubai $ 5,950
17 - 21 Aug 2026 Dubai $ 5,950
05 - 09 Oct 2026 Amsterdam $ 5,950
14 - 18 Dec 2026 London $ 5,950

Introduction

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 GLOMACS training course, *Data Mining Techniques for Fraud Analytics*, bridges the gap between raw data and actionable fraud intelligence. It introduces participants to core data mining techniques that can help detect unusual patterns, relationships, and trends that often signal fraudulent activity. Whether you’re looking to enhance your fraud investigation process or build a proactive detection framework, this course offers practical knowledge grounded in real-world applications.

Objectives

By the end of this Data Mining Techniques for Fraud Analytics training course, participants will be able to:

  • 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

Training Methodology

This training course employs a practical, instructor-led delivery style with a focus on structured learning modules. It incorporates visual demonstrations, step-by-step explanations, and walkthroughs of data mining workflows tailored to fraud detection. The content is accessible to both technical and non-technical participants, ensuring foundational concepts are clearly communicated without requiring coding or software development expertise.

Organisational Impact

Organisations that engage with this Data Mining Techniques for Fraud Analytics training course will benefit through:

  • Improved ability to detect fraudulent behaviour using data-driven approaches
  • Strengthened fraud prevention frameworks through data analysis
  • Enhanced return on investment in fraud detection technology and tools
  • Reduced operational and reputational risks associated with undetected fraud
  • Greater integration of analytics into fraud management strategies

Personal Impact

Participants will gain:

  • A solid understanding of data mining concepts and their relevance to fraud analytics
  • Practical knowledge of key data mining models used in fraud detection
  • Enhanced analytical and problem-solving capabilities
  • Confidence in interpreting analytical results to support investigations
  • Improved ability to engage with data science teams and contribute to anti-fraud initiatives

Who should Attend?

This GLOMACS 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
  • IT professionals and system architects supporting fraud detection initiatives
  • Managers looking to enhance organisational fraud detection capabilities
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
  • Overview of the CRISP-DM framework
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
  • Handling imbalanced datasets and missing values
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
  • Applications of classification in transaction and identity fraud
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
  • Selecting appropriate models for specific fraud cases
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
  • Summary and practical steps for implementation
Certificates
  • On successful completion of this training course, GLOMACS Certificate will be awarded to the delegates.
  • Continuing Professional Education credits (CPE): In accordance with the standards of the National Registry of CPE Sponsors, one CPE credit is granted per 50 minutes of attendance.
Providers

Endorsed Education Provider

NASBA
Options & Brochure
Related Categories
Data Management & Analytics Fraud & Financial Audit
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Frequently Asked Question

No. Saudi GLOMACS delivers courses in Saudi Arabia and internationally, including delivery across Europe and Asia. This allows organisations and professionals to access training both locally and abroad.

No. While governance and leadership are part of the portfolio, Saudi GLOMACS delivers training across the entire business and professional lifecycle, including administrative, technical, legal, regulatory, and sector-specific training.

Yes. Saudi GLOMACS designs and delivers bespoke in-house training tailored to organisational objectives, sector requirements, and workforce needs. Training can be delivered in Saudi Arabia or internationally, depending on requirements.

Courses delivered in Saudi Arabia are adapted to reflect local regulatory frameworks, organisational structures, sector conditions, and professional expectations. This ensures training is relevant, practical, and aligned with Saudi workplace realities.

GLOMACS has been delivering professional training for over thirty years, with courses delivered across Europe, the Middle East, Asia, and other international markets.

Saudi GLOMACS combines three decades of global training experience with a clear focus on Saudi market relevance. This allows it to deliver training that is both internationally credible and locally applicable, across a broader range of disciplines than niche or single-focus providers.

Saudi GLOMACS is a Saudi-based professional training provider delivering courses tailored to the Saudi market and applicable internationally. It operates within the global GLOMACS framework and draws on more than three decades of international training experience.

Saudi GLOMACS offers professional training across a wide range of disciplines, including administration, leadership and management, governance and regulation, law, oil and gas, energy, engineering, finance, digital technologies, and sector-specific specialisations.

Training supports professionals across all career stages, from operational roles to specialist and senior responsibilities.

Participants include professionals from public sector, semi-government, and private sector organisations, across a wide range of roles and industries. Attendees range from administrative and operational professionals to technical specialists, managers, and senior decision-makers.

Related Categories
Data Management & Analytics
Data Management & Analytics
 Fraud & Financial Audit
Fraud & Financial Audit

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