Research on Mining Association Behavior of Smart Home Users Based on Apriori Algorithm

DOI

10.2991/meita-15.2015.151How to use a DOI?

Keywords

Apriori algorithm, Smart home, user behavior preference.

Abstract

This paper mainly studies the improvement of Apriori algorithm based on smart home system. Association rule algorithm has the promotion effect to the analysis of the smart home user behavior. Apriori algorithm is one of the classical algorithms of association rules. However, the efficiency of the Apriori algorithm is not high, there is still room for improvement in smart home. Based on the characteristics of smart home system and terminal operation platform, this paper optimizes the Apriori algorithm. By introducing the auxiliary matrix, the number of scanning database is reduced, and the speed of the support solving is accelerated. Simulation experiment results show that the Apriori algorithm optimized is more efficient than the optimal 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  - Yongjun Zhang
AU  - Tingting Qi
PY  - 2015/08
DA  - 2015/08
TI  - Research on Mining Association Behavior of Smart Home Users Based on Apriori Algorithm
BT  - Proceedings of the 2015 International Conference on Materials Engineering and Information Technology Applications
PB  - Atlantis Press
SP  - 817
EP  - 821
SN  - 2352-5401
UR  - https://doi.org/10.2991/meita-15.2015.151
DO  - 10.2991/meita-15.2015.151
ID  - Zhang2015/08
ER  -