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.
Highlights
Data mining is an important research domain is currently focused on knowledge discovery in databases
One of the aspects of data mining is the Association Rule mining. It consists of two procedures: first, finding the frequent item set in the database using a minimum support and constructing the association rule from the frequent item set with specified confidence
After the design and implementation have been done in the previous chapter, will be proceed some test about data mining algorithm and application, which will be explained in this chapter
Summary
Data mining is an important research domain is currently focused on knowledge discovery in databases. It consists of two procedures: first, finding the frequent item set in the database using a minimum support and constructing the association rule from the frequent item set with specified confidence It relates to the association of items wherein for every occurrence of A, there exists an occurrence of B. The algorithm which was found by Zaki, minimize the cost of I/O by making a small number of database scans, and minimize the cost calculations with efficient search schemes This algorithm is very effective when used for small to medium item set [3].
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