There is often a large number of association rules discovered in data mining practice, making it difficult for users to identify those that are of particular interest to them. Therefore, it is important to remove insignificant rules and prune redundancy as well as summarize, visualize, and post-mine the discovered rules.

Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction provides a systematic collection of research on the summarization, presentation, and new forms of association rules for post-mining. This book presents researchers, practitioners, and academicians with tools to extract useful and actionable knowledge after discovering a large number of association rules.

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