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The Cartographer
A Prefixed-Itemset-Based Improvement For Apriori Algorithm
January 08, 2016 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Shoujian Yu, Yiyang Zhou
arXiv ID
1601.01746
Category
cs.DS: Data Structures & Algorithms
Cross-listed
cs.DB
Citations
6
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Association rules is a very important part of data mining. It is used to find the interesting patterns from transaction databases. Apriori algorithm is one of the most classical algorithms of association rules, but it has the bottleneck in efficiency. In this article, we proposed a prefixed-itemset-based data structure for candidate itemset generation, with the help of the structure we managed to improve the efficiency of the classical Apriori algorithm.
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