Efficient Execution of Apriori Algorithm Using WEKA

Nidhi Gupta, Dr. Neeraj Bhargava, Ajay Singh Gaur


In these days people are depending on computer and electronic devices. These devices require some specific information to be store
like customer interest in marketing. Sometimes this stored information is not able to help other system such as: frequent products demand. So,
dataware house is used to store information. But still, it requires an approach to access data and operate. Data Mining is the collection of
operation that used to relate and manipulate data according to requirement. A significant approach which is used to associate data defines by
Association Rule. WEKA provides an implementation of Association Rule using Apriori Algorithm. This research paper presents the efficient
use of WEKA for execution of Apriori Algorithm on data.

Keywords: DataMining; AssociationRule; AprioriAlgorithm; WEKA

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DOI: https://doi.org/10.26483/ijarcs.v4i7.1744


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