Using Apriori with WEKA for Frequent Pattern Mining

Using Apriori with WEKA for Frequent Pattern Mining

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2014 by IJETT Journal
Volume-12 Number-3
Year of Publication : 2014
Authors : Paresh Tanna , Dr. Yogesh Ghodasara
  10.14445/22315381/IJETT-V12P223

Citation 

Paresh Tanna , Dr. Yogesh Ghodasara. "Using Apriori with WEKA for Frequent Pattern Mining", International Journal of Engineering Trends and Technology (IJETT), V12(3),127-131 June 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

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.

References

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Keywords

Data Mining, Apriori, Frequent Pattern Mining, WEKA.