Association Rules Mining Algorithm based on Matrix

DOI

10.2991/ameii-15.2015.180How to use a DOI?

Keywords

Data Mining; Association Rules; Frequent Itemsets; Matrix;

Abstract

Association rules mining is an important model in data mining. The classic Apriori algorithm for Association rules need scan database many times and generate a great deal of candidate itemsets. This paper proposes a new algorithm for mining association rules based on matrix. The algorithm scans database only once to generate matrix of transaction and item, which generates candidate itemsets by using matrix. The experimental results of the algorithm show that the new algorithm is more efficient than traditional algorithm.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lei Ma
PY  - 2015/04
DA  - 2015/04
TI  - Association Rules Mining Algorithm based on Matrix
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 974
EP  - 980
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.180
DO  - 10.2991/ameii-15.2015.180
ID  - Ma2015/04
ER  -