Lecture

Association Rules Mining

In course

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Description

This lecture covers the concepts and algorithms for association rules mining, focusing on the Apriori algorithm and the FP-growth algorithm. It explains the process of finding frequent itemsets, building FP-trees, and extracting association rules. The lecture also discusses alternative measures of interest and strategies to improve mining efficiency for large datasets.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_tz2mbi0r

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Ontological neighbourhood

Information engineering

Data science: Topics in data science

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