Open AccessApplication of Data Mining Method Using Association Rules Apriori To Shopping Cart Analysis On Sale Transactions (Case Study Alfamidi Burnt Stone)
Author(s) -
Vanessa Siregar,
Paska Marto Hasugian
Publication year - 2020
Publication title -
journal of computer networks, architecture and high performance computing
Language(s) - English
Resource type - Journals
ISSN - 2655-9102
DOI - 10.47709/cnapc.v2i2.425
Subject(s) - association rule learning , apriori algorithm , transaction data , database transaction , cart , data mining , computer science , affinity analysis , value (mathematics) , data science , knowledge extraction , database , geography , machine learning , archaeology
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