Data Mining Application using Association Rule Mining ECLAT Algorithm Based on SPMF

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Abstract

Data mining is an important research domain that currently focused on knowledge discovery database. Where data from the database are mined so that information can be generated and used effectively and efficiently by humans. Mining can be applied to the market analysis. Association Rule Mining (ARM) has become the core of data mining. The search space is exponential in the number of database attributes and with millions of database objects the problem of I/O minimization becomes paramount. To get the information and the data such as, observation of the master data storage systems and interviews were done. Then, ECLAT algorithm is applied to the open-source library SPMF. In this project, this application can perform data mining assisted by open source SPMF with determined writing format of transaction data. It successfully displayed data with 100 % success rate. The application can generate a new easier knowledge which can be used for marketing the product.

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APA

Reynaldo, J., & Boy Tonara, D. (2018). Data Mining Application using Association Rule Mining ECLAT Algorithm Based on SPMF. In MATEC Web of Conferences (Vol. 164). EDP Sciences. https://doi.org/10.1051/matecconf/201816401019

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