Market basket analysis: Frequent Pattern Growth algorithm (Pilot)

SUMMARY

Are you ready to uncover the secrets hidden in your transactional data? Building on your knowledge of market basket analysis, this course dives into the Frequent Pattern (FP-)Growth algorithm—a breakthrough in frequent pattern mining. Unlike the Apriori algorithm, FP-Growth uses a compact and efficient tree-based approach, allowing you to analyze large datasets with ease.

In this lesson, you’ll discover how the FP-Growth algorithm works, why it’s a game-changer for pattern discovery, and how you can apply it in real-world scenarios like supply chain management, inventory optimization, and warehouse planning. Through hands-on examples, you’ll learn to create and interpret FP-Trees, mine frequent patterns, and use the insights to drive data-driven decisions.

About The Author

Dilek Dustegor is a Professor of Computing Science at the University of Groningen in the Netherlands. She is interested in bridging the gaps between research, development and implementation using AI and automation. She is pursuing research about modeling, design and analysis of large scale / networked systems using IoT and ML techniques, with a special interest in smart city applications. She is a seasoned educator, and loves using the newest educational technologies for an enhanced learning experience.