What is it about?
This journal is about analysing a market basket using data mining algorithms and compares the performance of the algorithms. Data mining techniques is the rules for finding the high frequency patterns between the set of itemset called Association Rules. The purpose of this paper is to measure the performance of the Apriori and Frequent Parse Tree algorithms by comparing them using several points of comparison. Then compare the outputs, whether they produce the same or different rules, so that we can find out whether the way of the two algorithms work is similar or not.
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Why is it important?
Because these data mining algorithms can be used for analysing the market, and can analyze the pattern of the market. that can be used for many business purposes.
Perspectives
i think these data mining algorithms, the "Apriori" and the "Frequent Parse Tree" can be used for many business purpose that it can help us to get the market patterns, that can be used for many business purpose.
Michael Albert
Read the Original
This page is a summary of: Real Market Basket Analysis using Apriori and Frequent Pattern Tree Algorithm, October 2021, ACM (Association for Computing Machinery),
DOI: 10.1145/3489088.3489133.
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