article · 2009

An Improved Algorithm for Apriori

Changsheng Zhang, Zhongyue Li, Dongsong Zheng

Cited by 10Abstract and details only

Abstract

In this paper, we studied the Apriori Algorithm and its performance, which is used to mine association rules. The algorithm for reducing the size of the candidate-itemsets is optimized. Meanwhile, the performance of algorithm is improved to reduce I/O spending by cutting down unnecessary transaction records.

Cite this paper

APA 7

Zhang, C., Li, Z., & Zheng, D. (2009). An Improved Algorithm for Apriori. https://doi.org/10.1109/etcs.2009.227

MLA 9

Zhang, Changsheng, et al. “An Improved Algorithm for Apriori.” 2009, pp. 995–98, https://doi.org/10.1109/etcs.2009.227.

Chicago

Zhang, Changsheng, Zhongyue Li, and Dongsong Zheng. 2009. “An Improved Algorithm for Apriori.” https://doi.org/10.1109/etcs.2009.227.

Harvard

Zhang, C., Li, Z. and Zheng, D. (2009) ‘An Improved Algorithm for Apriori’. Available at: https://doi.org/10.1109/etcs.2009.227.

BibTeX

@article{zhang2009improved,
  title = {{An Improved Algorithm for Apriori}},
  author = {Zhang, Changsheng and Li, Zhongyue and Zheng, Dongsong},
  pages = {995--998},
  year = {2009},
  doi = {10.1109/etcs.2009.227}
}

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