Optimasi Pemrograman Query Untuk Algoritma Apriori Berbasis Asosiasi Data Mining
Femi Dwi Astuti, Widyastuti Andriyani · Zenodo (CERN European Organization for Nuclear Research) · 2016
Generally, each measurement is associated with a threshold value value can be determined by the user data mining. The association rules do not use a threshold tend to be interesting because it does not represent knowledge to users of data mining. One factor that gives contributions to determine whether a pattern is interesting or not simplicity in human understanding. The more complex the structure of a rules, it is increasingly difficult to be interpreted so that the pattern is formed increasingly unattractive.