Data Mining Integration with PostgreSQL Extension by K-Means, ID3 and
1R Method

Data Mining Integration with PostgreSQL Extension by K-Means, ID3 and
1R Method

Data Mining Techniques; Database Management System; Partition; Response Time

Data mining is a tool that allows users to quickly access large amounts of data. The purpose of this study was to analyze the
integration of data mining technique algorithms into the PostgreSQL database management system. The method used in this
research is K-Means, ID3 and 1R, the tools used to implement data mining using RapidMiner and PostgreSQL tools. In this
study, the number of rows to be analyzed is 100,000 records, 500,000 records, and 1,000,000 records. The results obtained are
the algorithm implemented to validate the data by using an experimental design that serves to observe the time that the analysis
of the algorithm that has been integrated into the DBMS is smaller than the results from Rapidminer. As the number of records
increases, data analysis becomes difficult using RapidMiner.

Tri Wahyuningsih 1,*, I Ketut Gunawan 2, Abdullah Dwi Srenggini 3, Henry Riyandi

2022

peri irawan

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