R. 1. Yao, Q. Z. Sheng, A. H. Ngu, and X. Li, Things of Interest Recommendation by Leveraging Heterogeneous Relations in the Internet of Things, ACM Transactions on Internet Technology, vol.16, issue.2, 2015.
DOI : 10.1145/2837024

H. Ma, H. Cao, Q. Yang, E. Chen, and J. Tian, A habit mining approach for discovering similar mobile users, Proceedings of the 21st international conference on World Wide Web, WWW '12, p.12
DOI : 10.1145/2187836.2187868

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

X. Li, H. Cao, E. Chen, H. Xiong, and J. Tian, BP-growth: Searching Strategies for Efficient Behavior Pattern Mining, 2012 IEEE 13th International Conference on Mobile Data Management
DOI : 10.1109/MDM.2012.14

S. Rollins and N. Banerjee, Using rule mining to understand appliance energy consumption patterns, 2014 IEEE International Conference on Pervasive Computing and Communications (PerCom)
DOI : 10.1109/PerCom.2014.6813940

L. Cerf, J. Besson, C. Robardet, and J. Boulicaut, -ary Relations, SIAM SDM'08
DOI : 10.1137/1.9781611972788.4

URL : https://hal.archives-ouvertes.fr/hal-01408836

G. Poghosyan, Device analytics in home networks

I. Pefkianakis, Characterizing home wireless performance: The gateway view, 2015 IEEE Conference on Computer Communications (INFOCOM)
DOI : 10.1109/INFOCOM.2015.7218663

H. Cao, T. Bao, Q. Yang, E. Chen, and J. Tian, An effective approach for mining mobile user habits, Proceedings of the 19th ACM international conference on Information and knowledge management, CIKM '10
DOI : 10.1145/1871437.1871702

S. Nath, ACE, Proceedings of the 10th international conference on Mobile systems, applications, and services, MobiSys '12
DOI : 10.1145/2307636.2307640

L. Ong, M. Bergés, and H. Y. Noh, Exploring Sequential and Association Rule Mining for Pattern-based Energy Demand Characterization, Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings, BuildSys'13
DOI : 10.1145/2528282.2528308