PENGGUNAAN CLUSTER-BASED SAMPLING UNTUK PENGGALIAN KAIDAH ASOSIASI MULTI OBYEKTIF

Abstract

The exploration of association models is used to identify association model of item
combination in each part, to detect co-occur attributes in common frequency, and to
conduct a kind of model of the groups. Furthermore, to explore a single association,
the quality measurement of the risen models is frequently only based on one
evaluative criteria, that is confidence factor or predictive accuracy. In the previous
research, it was used a measurement criteria comprehensibility, interestingness and
confidence factor or predictive accuracy. Therefore, it results in a model describing
the real condition.