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Applied Data Mining
book

Applied Data Mining

by Guandong Xu, Yu Zong, Zhenglu Yang
June 2013
Intermediate to advanced content levelIntermediate to advanced
284 pages
13h 54m
English
CRC Press
Content preview from Applied Data Mining
CHAPTER 6
Frequent Pattern Mining
Frequent pattern mining is one of the most fundamental research issues in
data mining, which aims to mine useful information from huge volume of
data. The purpose of searching such frequent patterns (i.e., association rules)
is to explore the historical supermarket transaction data, which is indeed to
discover the customer behavior based on the purchased items. Association
rules present the fact that how frequently items are bought together. For
example, an association rule “beer->diaper (75%)” indicates that 75% of
the customers that bought beer also bought diaper. Such rules can be used
to make prediction and ...
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Publisher Resources

ISBN: 9781466585843