Using Apriori with WEKA for Frequent Pattern Mining

Paresh Tanna; Dr. Yogesh Ghodasara

doi:https://doi.org/10.14445/22315381/IJETT-V12P223

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Volume 12 | Number 1 | Year 2014 | Article Id. IJETT-V12P223 | DOI : https://doi.org/10.14445/22315381/IJETT-V12P223

Using Apriori with WEKA for Frequent Pattern Mining

Paresh Tanna , Dr. Yogesh Ghodasara

Citation :

Paresh Tanna , Dr. Yogesh Ghodasara, "Using Apriori with WEKA for Frequent Pattern Mining," International Journal of Engineering Trends and Technology (IJETT), vol. 12, no. 1, pp. 127-131, 2014. Crossref, https://doi.org/10.14445/22315381/IJETT-V12P223

Abstract

Knowledge exploration from the large set of data, generated as a result of the various data processing activities due to data mining only. Frequent Pattern Mining is a very important undertaking in data mining. Apriori approach applied to generate frequent item set generally espouse candidate generation and pruning techniques for the satisfaction of the desired objective. This paper shows how the different approaches achieve the objective of frequent mining along with the complexities required to perform the job. This paper demonstrates the use of WEKA tool for association rule mining using Apriori algorithm.

Keywords

Data Mining, Apriori, Frequent Pattern Mining, WEKA.

References

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