Application of Data Mining Method Using Association Rules Apriori To Shopping Cart Analysis On Sale Transactions (Case Study Alfamidi Burnt Stone)

  • Siregar V
  • Hasugian P
N/ACitations
Citations of this article
12Readers
Mendeley users who have this article in their library.

Abstract

Also Often data mining is called knowledge discovery in databases (KDD), ie activities include the collection, historical use of data to find regularities, patterns or relationships in data sets with a large size. The company may be interested to know if some groups consistently goods items purchased together. This study analyzes the transaction of data information retrieval from the sale of skin care and hair care using data mining algorithms priori Alfamidi Burnt Stones with the highest support value is 8% and the highest value is 5% confidance

Cite

CITATION STYLE

APA

Siregar, V., & Hasugian, P. M. (2020). Application of Data Mining Method Using Association Rules Apriori To Shopping Cart Analysis On Sale Transactions (Case Study Alfamidi Burnt Stone). Journal Of Computer Networks, Architecture and High Performance Computing, 2(2), 222–226. https://doi.org/10.47709/cnapc.v2i2.425

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free