Association-Based Classification

 

•Several methods for association-based classification
–ARCS: Quantitative association mining and clustering of association rules (Lent et al’97)
•It beats C4.5 in (mainly) scalability and also accuracy
–Associative classification: (Liu et al’98) 
•It mines high support and high confidence rules in the form of “cond_set => y”, where y is a class label
–CAEP (Classification by aggregating emerging patterns) (Dong et al’99)
•Emerging patterns (EPs): the itemsets whose support increases significantly from one class to another
•Mine Eps based on minimum support and growth rate

classification and prediction by v. vanthana