Proposed Method for Modified Apriori Algorithm

There are many algorithms in data mining. Apriori algorithm is the most important algorithm which is used to extract frequent itemsets from large database and which gets association rule. Firstly, we check if the items are greater than or equal to the minimum support and find the frequent itemsets r...

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Bibliographic Details
Published inProceedings of the International Conference on Information and Knowledge Engineering (IKE) pp. 68 - 73
Main Authors Yu, Thanda Tin, Lynn, Khin Thidar
Format Conference Proceeding
LanguageEnglish
Published Athens The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp) 01.01.2017
Subjects
Algorithms
Computer science
Data mining
Datasets
Efficiency
Engineering
Knowledge management
Social networks
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Summary:There are many algorithms in data mining. Apriori algorithm is the most important algorithm which is used to extract frequent itemsets from large database and which gets association rule. Firstly, we check if the items are greater than or equal to the minimum support and find the frequent itemsets respectively. Then, the minimum confidence is used to form association rule. This paper proposed the new algorithm based on Apriori algorithm. In this new algorithm , it can reduce the computational complexity than Apriori algorithm. So the processing time is faster. And it can be used in any dataset which is executable with Apriori algorithm.