Previous Chapter Chapter 5: Association Rule Mining Next Chapter

  • Citations
  • Add to My List
  • Text Size

Association Rule Mining
Association rule mining
Introduction

The aim of data mining is to extract useful information from data sources (Hand et al., 2001). Association rule mining is one of the core data mining divisions. To mine association rules from data is to look for frequent patterns that establish a typical directed co-occurrence of two frequent sets of items. The archetypical example comes from retail. The data is a set of transactions (each transaction is the content of a shopping basket). A frequent set of items, or itemset, may be {eggs, flower} and another may be {sugar}. The construct {eggs, flower} → {sugar} is an association rule stating that there is an observed tendency for buying sugar whenever eggs and flower are jointly purchased. The strength of ...

Looks like you do not have access to this content.

Login

Don’t know how to login?

Click here for free trial login.

Back to Top

Copy and paste the following HTML into your website