Ying Li, Rui Zhou, Fei Liang, Haili Ding, Guangxia Ma, and Haiyan Wang
[1] Y. Xu, J. Zhang, X. Gong, K. Jiang, and J. Yin, A methodof real-time traffic classification in secure access of the powerenterprise based on improved random forest algorithm, PowerSystem Protection & Control, 44(24), 2016, 82–89. [2] A. Muzhikyan, and T. Mezher, Power system enterprise controlwith inertial response procurement, IEEE Transactions onPower Systems, 33(4), 2018, 3735–3744. [3] T. Lu, G. Liu, and S. Chang, Energy-efficient data sensing androuting in unreliable energy-harvesting wireless sensor network,Wireless Networks, 24(3), 2018, 611–625. [4] M. Zotkiewicz, M. Guzek, and D. Kliazovich, Minimum de-pendencies energy-efficient scheduling in data centers, IEEETransactions on Parallel & Distributed Systems, 27(12), 2016,3561–3574. [5] Y. Ji, P. Xu, P. Duan, et al., Estimating hourly coolingload in commercial buildings using a thermal network modeland electricity submetering data, Applied Energy, 169, 2016,309–323. [6] M. de Castro Tom´e, P.H.J. Nardelli, and H. Alves, Long-rangelow-power wireless networks and sampling strategies in elec-tricity metering, IEEE Transactions on Industrial Electronics,66(2), 2018, 1629–1637. [7] I.A.T. Hashem, V. Chang, N.B. Anuar, K. Adewole, I. Yaqoob,and A. Gani, The role of big data in smart city, Inter-national Journal of Information Management, 36(5), 2016,748–758. [8] W. Zhang, J. Zhao and Xiao, BIG data center members, theBIG data center: From deposition to integration to translation,Nucleic Acids Research, 45(D1), 2017, D18–D24. [9] A.D. Mauro, M. Greco, and M. Grimaldi, A formal definitionof big data based on its essential features, Library Review,65(3), 2016, 122–135. [10] H. Luo, M. Zhu, S. Ye, H. Hou, and L. Bulysheva, An intelligenttracking system based on internet of things for the coldchain, Internet Research Electronic Networking Applications& Policy, 26(2), 2016, 435–445. [11] B. Guo, A. Sun, and W. Ding, Development and experimentof intelligent monitoring system for geese house environment,Transactions of the Chinese Society of Agricultural Engineer-ing, 33(9), 2017, 180–186. [12] D. Andrew, The ALog: Inexpensive, open-source, automateddata collection in the field, The Bulletin of the EcologicalSociety of America, 95(2), 2015, 166–176. [13] T.-H.S. Li, C.Y. Liu, P.H. Kuo, N.C. Fang, and C.Y. Chen, Athree-dimensional adaptive PSO-based packing algorithm foran IoT-based automated e-fulfillment packaging system, IEEEAccess, 5, 2017, 9188–9205. [14] J. Chen, K. Li, Z. Tang, K. Bilal, S. Yu, and C. Weng, Aparallel random forest algorithm for big data in a spark cloudcomputing environment, IEEE Transactions on Parallel &Distributed Systems, 28(4), 2017, 919–933. [15] M.M. Rathore, A. Ahmad, and A. Paul, Real-time intrusiondetection system for ultra-high speed big data environment,The Journal of Supercomputing, 72(9), 2016, 3489–3510. [16] W. Chen, Ghost identification based on single-pixel imagingin big data environment, Optics Express, 25(14), 2017, 16509. [17] D. Dahmani, S.A. Rahal, and G. Belalem, Improving theperformance of data mining by using big data in cloud envi-ronment, Journal of Information & Knowledge Management,15(4), 2016, 1650038. [18] A.A. Haneen, A. Noraziah, R. Gupta, and M.A.I. Fakherldin,Review on data partitioning strategies in big data environment,Advanced Science Letters, 23(11), 2017, 11101–11104. [19] L.A. Tawalbeh, R. Mehmood, E. Benkhelifa, and H. Song,Mobile cloud computing model and big data analysis forhealthcare applications, IEEE Access, 4, 2016, 6171–6180. [20] T.S.J. Darwish and K.A. Bakar, Fog based intelligent trans-portation big data analytics in the internet of vehicles environ-ment: Motivations, architecture, challenges and critical issues,IEEE Access, 6, 2018, 15679–15701.
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