Design of Association Rules Data Mining System Based on Improved Ant Colony Algorithm

DOI

10.2991/emim-17.2017.34How to use a DOI?

Keywords

Ant Colony algorithm; Data mining; Association rule; Group of wisdom; Path

Abstract

Data Mining is from large, incomplete, noisy, fuzzy and random Data, extract implicit in it, people don't know in advance, but it is potentially useful information and knowledge of the process. The Ant Colony algorithm is actually positive feedback principle, and it is an algorithm combining the heuristic algorithm. The Ant Colony algorithm is easy to fall into local optimum and slow convergence, many new models are put forward, such as ACA based on cloud model. The paper presents design of association rules data mining system Based on improved ant colony algorithm.

Copyright

© 2017, 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  - Xiaoying Sun
PY  - 2017/04
DA  - 2017/04
TI  - Design of Association Rules Data Mining System Based on Improved Ant Colony Algorithm
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
PB  - Atlantis Press
SP  - 157
EP  - 161
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-17.2017.34
DO  - 10.2991/emim-17.2017.34
ID  - Sun2017/04
ER  -