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2019•IOP Conference Series Materials Science and EngineeringOpen access

Looking for Transaction Data Pattern Using Apriori Algorithm with Association Rule Method

Yayah Sutisnawati, M Reski

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Abstract

Abstract The purpose of this research is to find patterns in transaction data so that it can be useful information. The author used data mining in the analysis of transaction data with the association rule method and a priori algorithm. The results of this study state that making the right decision for the marketing strategy. This study will analyze transaction data at XYZ dining places and find relationships between items purchased by consumers.

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What this paper is about

Abstract The purpose of this research is to find patterns in transaction data so that it can be useful information. The author used data mining in the analysis of transaction data with the association rule method and a priori algorithm. The results of this study state that making the right decision for the marketing strategy. This study will analyze transaction data at XYZ dining places and find relationships between items purchased by consumers.

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Available abstract

Abstract The purpose of this research is to find patterns in transaction data so that it can be useful information. The author used data mining in the analysis of transaction data with the association rule method and a priori algorithm. The results of this study state that making the right decision for the marketing strategy. This study will analyze transaction data at XYZ dining places and find relationships between items purchased by consumers.

Key concepts: Association rule learning, Apriori algorithm, Database transaction, Transaction data, A priori and a posteriori, Data mining, Computer science, Affinity analysis

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