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Association Rules Learning

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May 13, 2024 2 minute read

Association Rules Learning, also known as market basket analysis, is a data mining technique that seeks to uncover relationships and correlations between different data items within a dataset. It is a widely used technique in business, finance, and other fields to extract valuable insights from large datasets and make informed decisions.

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Reading list

We've selected five books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Association Rules Learning.
Provides a comprehensive overview of association rules learning, covering both theoretical and practical aspects. It is suitable as a textbook for a graduate-level course on data mining.
Covers association rules learning as part of a broader discussion of data mining concepts and techniques. It is suitable as a textbook for an undergraduate or graduate-level course on data mining.
Covers association rules learning as part of a broader discussion of machine learning algorithms. It is suitable as a textbook for an undergraduate or graduate-level course on machine learning.
Covers association rules learning as part of a broader discussion of data mining and knowledge discovery techniques. It is suitable as a textbook for a graduate-level course on data mining or knowledge discovery.
Briefly covers association rules learning as part of a broader discussion of data mining techniques for business intelligence. It is suitable as a textbook for a graduate-level course on data mining for business intelligence.
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