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notes for data mining

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notes for data mining

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Data Mining:

Concepts and
Techniques

, 1


Chapter 5: Mining Frequent Patterns,
Association and Correlations: Basic Concepts
and Methods

◼ Basic Concepts

◼ Frequent Itemset Mining Methods

◼ Which Patterns Are Interesting?—Pattern

2

, Evaluation Methods

◼ Summary
What Is Frequent Pattern Analysis?
◼ Frequent pattern: a pattern (a set of items, subsequences,
substructures, etc.) that occurs frequently in a data set

◼ First proposed by Agrawal, Imielinski, and Swami [AIS93] in the
context of frequent itemsets and association rule mining

◼ Motivation: Finding inherent regularities in data

◼ What products were often purchased together?— Beer and diapers?!

3

, ◼ What are the subsequent purchases after buying a PC?

◼ What kinds of DNA are sensitive to this new drug?

◼ Can we automatically classify web documents? ◼ Applications

◼ Basket data analysis, cross-marketing, catalog design, sale campaign
analysis, Web log (click stream) analysis, and DNA sequence
analysis.

Why Is Freq. Pattern Mining Important?

◼ Freq. pattern: An intrinsic and important property of
datasets
◼ Foundation for many essential data mining tasks
4

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