The Research of Improved Apriori Algorithm Application in Distance Education Platform

Xin Wang; Jian Wei Wang; Long Hei

doi:10.4028/www.scientific.net/AMM.333-335.1319

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 333-335The Research of Improved Apriori Algorithm...

The Research of Improved Apriori Algorithm Application in Distance Education Platform

Abstract:

This paper points out the bottleneck of classical Apriori algorithm, presents an improved association rule mining algorithm based on Apriori algorithm.The new algorithm is based on pruing away the itemsets whose support degree is less than minsupport to reduce the number of itemsets in the transaction database. At the same time the new algorithm change the candidate_gen function to generate a continuous access page. According to the running result of the algorithm, the processing time of mining is decreased and the efficiency of algorithm has improved.Whats more, the new algorithm can find the learners frequent traversal path to improve the intelligence of the distance education platform. Keywords: Associaion Rules;Apriori Algorithm; Frequent Traversal Path;Distance Education Platform

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Periodical:

Applied Mechanics and Materials (Volumes 333-335)

Pages:

1319-1323

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.333-335.1319

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Online since:

July 2013

Authors:

Xin Wang, Jian Wei Wang, Long Hei

Keywords:

Apriori Algorithm, Association Rule, Distance Education Platform, Frequent Traversal Path

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References

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