An Interactive 5-Day Training Course

Data Mining Techniques for Fraud Analytics

Uncovering Hidden Patterns and Anomalies to
Strengthen Fraud Detection Efforts

Data Mining Techniques for Fraud Analytics
2025
Venue
Date
Fee
London - UK
15-19 Dec 2025
$5,950
2026
Venue
Date
Fee
Dubai - UAE
04-08 May 2026
$5,950
Dubai - UAE
17-21 Aug 2026
$5,950
Amsterdam - The Netherlands
05-09 Oct 2026
$5,950
London - UK
14-18 Dec 2026
$5,950

Course Overview

As digital ecosystems expand and transactional volumes surge, fraudsters exploit complexity to mask their activities. Traditional detection systems often fall short in identifying emerging threats hidden within vast datasets. To stay ahead, organisations must integrate intelligent analytics into their fraud prevention strategies.

The Data Mining Techniques for Fraud Analytics training course equips fraud, audit, and compliance professionals with essential skills in data mining to detect, investigate, and mitigate fraud more effectively. Participants will explore core techniques such as classification, clustering, and anomaly detection, enabling them to extract actionable insights from structured and unstructured data. Whether enhancing existing controls or developing new fraud detection models, this course bridges the gap between raw data and strategic anti-fraud outcomes.

This Data Mining Techniques for Fraud Analytics training course will highlight:

  • Core principles and workflows of data mining in the context of fraud analytics
  • How to apply classification, clustering, and association rules to detect unusual behavior
  • Real-world fraud detection uses cases across finance, retail, and cyber domains
  • Methods for data preparation, cleansing, and feature engineering
  • Interpreting and validating fraud models using analytical tools
  • Translating results into investigation leads and actionable recommendations

Training Outline

DAY 1 to DAY 5:
  • Understanding the scope of fraud and fraud analytics
  • Introduction to data mining: objectives and process
  • Types of fraud suitable for data mining approaches
  • Identifying and sourcing relevant data for fraud analysis
  • Data cleaning, transformation, and integration techniques
  • Exploratory data analysis and visualization for anomaly detection
  • 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
  • Understanding unsupervised learning in fraud analytics
  • Clustering methods (K-means, DBSCAN) for behavioral analysis
  • Market basket analysis and association rule mining
  • Building a data mining workflow for fraud detection
  • Operationalizing fraud analytics models
  • Ensuring model interpretability and business alignment
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 Sponsor, one CPE credit is granted per 50 minutes of attendance
Accreditation

GLOMACS is registered with NASBA as a sponsor of Continuing Professional Education (CPE) on the National Registry of CPE Sponsors. NASBA have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.learningmarket.org.

All Training Seminars delivered by GLOMACS by default are eligible for CPE Credit.

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About GLOMACS

About Saudi Glomacs

At Saudi GLOMACS, we specialize in delivering world-class training courses in Saudi Arabia and across various international locations. Our training courses are tailored to meet the unique demands of Saudi Vision 2030 and the Human Capability Development Program, focusing on empowering Saudi citizens and enhancing workforce skills. We offer diverse courses spanning leadership, management, engineering, and technical disciplines to cultivate expertise and drive professional growth. Our flexible learning options—whether in-person, online, or in-house—ensure accessibility and convenience for individuals and organizations alike.

With over 30+ years of experience through the GLOMACS global network, we are committed to delivering innovative, results-driven training solutions. Our expert instructors combine industry knowledge with dynamic teaching methods, fostering practical skill development and long-term career success. By choosing Saudi GLOMACS, you're investing in personal excellence and contributing to the Kingdom’s sustainable economic growth and vision-driven transformation.

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