Data Mining Algorithms II: Frequent Item Sets

Dan A. Simovici

doi:10.1002/9780470175668.ch7

Data Mining Algorithms II: Frequent Item Sets

Dan A. Simovici

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

The identification of frequent item sets and of association rules have received a lot of attention in data mining due to their many applications in marketing, advertising, inventory control, and many other areas. First the notion of frequent item set is introduced and we study in detail the most popular algorithm for item set identification: the Apriori algorithm. Next we present the role of frequent item sets in the identification of association rules and examine the levelwise algorithms, an important generalization of the Apriori algorithm.

Original language	English
Title of host publication	Handbook of Applied Algorithms
Subtitle of host publication	Solving Scientific, Engineering and Practical Problems
Publisher	John Wiley & Sons, Inc.
Pages	219-239
Number of pages	21
ISBN (Print)	9780470044926
DOIs	https://doi.org/10.1002/9780470175668.ch7
State	Published - Mar 1 2007

ASJC Scopus Subject Areas

General Engineering

Keywords

Apriori algorithm and frequent item set identification
Association rules
Data mining algorithms II - frequent item sets

Access to Document

10.1002/9780470175668.ch7

Cite this

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KW - Association rules

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ER -

Data Mining Algorithms II: Frequent Item Sets

Abstract

ASJC Scopus Subject Areas

Keywords

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