Data mining is the process of extracting knowledge hidden from large  volumes of raw data. One of the technique in data mining is association  rule, while a priori is one of association rule techniques. In this  paper, we try to implement a priori algorithm to get association rules  among Northwind data, a sample database comes with SQL Server 2000  packages, as secundey data. The result of this research is an  application that can generate association rule among the products in  Northwind. The application is designed to generate association rule  until n-antecedent with one consquent. However, because of count of data  in Nortwind is not great enough, in testing only get association rule  with one antecedent and one consquent. In this article, we explains how  to implement a priori algorithm. The implementation explained in step by  step detail to picture out the development process of application  program that use a priori.
 
 
 

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