The Research of Data Mining Algorithm Based on Association Rules

DOI

10.2991/iccasm.2012.139How to use a DOI?

Keywords

Data mining, Association rules, Apriori algorithm, Frequent item set

Abstract

Based on in-depth study of the existing data mining and association rule mining algorithms, a new mining algorithm of weighted association rules is proposed. By introducing a support factor of the weighted frequent item sets, a reasonable minimum support is set. The algorithm does not need to repeatedly scan the database in the discovery of frequent item sets, so it greatly reduces the time of input and output, and improves the efficiency of data mining.

Copyright

© 2012, 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  - Lei Chen
PY  - 2012/08
DA  - 2012/08
TI  - The Research of Data Mining Algorithm Based on Association Rules
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 548
EP  - 551
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.139
DO  - 10.2991/iccasm.2012.139
ID  - Chen2012/08
ER  -