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 ...