2019Unpublished venueRequires access

Analysis of Antimicrobial Interaction Based on Improved Apriori Algorithm

LI Ya, Chun Ma, Yan Guiming

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Abstract

Data mining refers to the process of mining hidden information from massive data by algorithm, and the association rule mining is an important research topic in the field of data mining. This paper studies the Apriori algorithm of data mining based on association rules and improves it. Then, we use the improved Apriori algorithm to analyze the interaction between antimicrobial drugs, and illustrate the results with examples and analysis.

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What this paper is about

Data mining refers to the process of mining hidden information from massive data by algorithm, and the association rule mining is an important research topic in the field of data mining. This paper studies the Apriori algorithm of data mining based on association rules and improves it. Then, we use the improved Apriori algorithm to analyze the interaction between antimicrobial drugs, and illustrate the results with examples and analysis.

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Available abstract

Data mining refers to the process of mining hidden information from massive data by algorithm, and the association rule mining is an important research topic in the field of data mining. This paper studies the Apriori algorithm of data mining based on association rules and improves it. Then, we use the improved Apriori algorithm to analyze the interaction between antimicrobial drugs, and illustrate the results with examples and analysis.

Key concepts: Apriori algorithm, Association rule learning, Data mining, Computer science, A priori and a posteriori, Field (mathematics), Process (computing), GSP Algorithm

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