Research on Mining Association Behavior of Smart Home Users Based on Apriori Algorithm
- 10.2991/meita-15.2015.151How to use a DOI?
- Apriori algorithm, Smart home, user behavior preference.
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.
- © 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/).
Cite this article
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 -