Comparative study on the algorithm for mining association rules based on Data Mining

DOI

10.2991/iccse-15.2015.9How to use a DOI?

Keywords

Data mining; Association rule; Algorithm; Frequent set

Abstract

This paper first introduces the classical algorithm -- Apriori algorithm of association rules in data mining. Then from several width, depth, partitioning, sampling, incremental updating and the angles of the association rules mining of classification discussion. Then using literature search and comparative analysis method to the common association rules mining algorithm are reviewed, mainly including FP-growth algorithm, DHP algorithm, Partition algorithm, FUP algorithm, CD algorithm. Development prospect of association rules mining is discussed.

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/).

Download article (PDF)

TY  - CONF
AU  - Jia Guo
AU  - Jing-yi Ren
AU  - Yu-jing Zhang
PY  - 2015/07
DA  - 2015/07
TI  - Comparative study on the algorithm for mining association rules based on Data Mining
BT  - Proceedings of the 2015 International Conference on Computational Science and Engineering
PB  - Atlantis Press
SP  - 44
EP  - 48
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-15.2015.9
DO  - 10.2991/iccse-15.2015.9
ID  - Guo2015/07
ER  -