ABSTRACT
ABSTRACT: This paper proposed a new view of the application of data mining analysis in electricity commerce, and examined how to use k-means cluster and association rule mining as an entity to accurately explore the association rules between varieties of indexes, with whatever quantitative data or qualitative data. The online shops’ indexes like product ratings, percentages of delivery speed, ranges among the whole industry, and regional distribution were first classified and clustered, and then applied or mined by Apriori algorithm, a method of association rule mining. The results with a comprehensive analysis will be helpful not only in instructing the merchants who run an online shop, but also in offering valuable information to the investigators related to electricity commerce.
