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

Authors

  • Vanessa Siregar STMIK Pelita Nusantara
  • Paska Marto Hasugian Lecturer Teknik Informatika, STMIK Pelita Nusantara, Medan

DOI:

10.47709/cnapc.v2i2.425

Keywords:

Data mining, priori algorithm

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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

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References

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ARTICLE Published HISTORY

Submitted Date: 2019-11-28
Accepted Date: 2019-11-28
Published Date: 2020-06-01

How to Cite

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

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