Association Rule Mining by Implementing Apriori Algorthim using Disconnected Approach

There is a huge amount of data around us and to extract valuable information from it can be done through data mining. Data Miming is the process of extracting useful information from the huge amount of data stored in databases. Association Rule Mining is one of the data mining techniques used to extract hidden knowledge from datasets that can be used by an organization’s decision makers to improve overall profit. One of the most famous association rule learning algorithms is Apriori. Apriori algorithm is one of algorithms for generation of association rules. The drawback of Apriori Rule algorithm is the number of time to read data in the database equally number of each candidate were generated. A disconnected approach is implemented in this paper. The implementation of the algorithm would need to scan the database one time. Through this implementation of Apriori Algorithm greatly reduces the database scan which reduces time, network consumption and can improve the efficiency of algorithm. KeywordsData mining; Association rule; Apriori algorithm; Disconnect approach; ADO.NET; Frequent pattern