MATEC Web Conf.
Volume 164, 2018The 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017)
|Number of page(s)||10|
|Published online||23 April 2018|
Data Mining Application using Association Rule Mining ECLAT Algorithm Based on SPMF
Management Information System, Ciputra University, UC Town, Citraland, Made, Sambikerep, Surabaya 60219, East Java, Indonesia
* Corresponding author: firstname.lastname@example.org
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.
Key words: Association rule mining / Data mining / ECLAT / Mining library / SPMF
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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