Proactive service selection based on acquaintance model and LS-SVM

Barakat, 2012, Reactive service selection in dynamic service environments, Lect. Notes Comput. Sci., 7592, 17, 10.1007/978-3-642-33427-6_2 Dai, 2011, Utility increasing policy based reactively dynamic selection of composite service, ICIC Express Lett., 5, 255 Wang, 2014, Multi-user web service selection based on multi-QoS prediction, Inf. Syst. Front., 16, 143, 10.1007/s10796-013-9455-4 Barakat, 2014, Efficient adaptive QoS-based service selection, Serv. Orient. Comput. Appl., 8, 261, 10.1007/s11761-013-0149-z Yan, 2013, An approach for web service QoS dynamic prediction, J. Softw., 8, 2637, 10.4304/jsw.8.10.2637-2643 Bhat, 2014, Emergence of clustering in an acquaintance model without homophily, J. Stat. Mech.: Theory Exp., 11, 11035, 10.1088/1742-5468/2014/11/P11035 Liu, 2015, Reliable Web service composition based on QoS dynamic prediction, Soft Comput., 19, 1409, 10.1007/s00500-014-1351-4 Ghezzi, 2015, Performance-driven dynamic service selection, Concurrency Comput.: Pract. Exp., 27, 633 Lu, 2008, Parallel randomized sampling for support vector machine (SVM) and support vector regression (SVR), Knowl. Inf. Syst., 14, 233, 10.1007/s10115-007-0082-6 Ding, 2012, Research of granular support vector machine, Artif. Intell. Rev., 38, 1, 10.1007/s10462-011-9235-9 Vida, 2014, Modeling acquaintance networks based on balance theory, Int. J. Appl. Math. Comput. Sci., 24, 683, 10.2478/amcs-2014-0050 Barbara, 2015, Paraconsistent semantics of speech acts, Neurocomputing, 151, 943 Witold, 2014, Human-centric analysis and interpretation of time series: a perspective of granular computing, Soft Comput., 18, 2397, 10.1007/s00500-013-1213-5 Chen, 2015, A weighted LS-SVM based learning system for time series forecasting, Inf. Sci., 299, 99, 10.1016/j.ins.2014.12.031 Y. Bodyanskiy, O. Vynokurova, Hybrid adaptive wavelet-neuro-fuzzy system for chaotic time series identification. 220, 2013, pp.170–179. Wu, 2012, Evaluation and research on sports psychology based on BP neural network model, Adv. Inf., 4, 355 Ding, 2011, An optimizing BP neural network algorithm based on genetic algorithm, Artif. Intell. Rev., 36, 153, 10.1007/s10462-011-9208-z K.Q. Zou, R.F. Dong, A novel approach for time series analysis based RBF neural network, 2010 International Forum on Information Technology and Applications (IFITA). 3, 2010, pp. 139–142 Ding, 2012, An optimizing method of RBF neural network based on genetic algorithm, Neural Comput. Appl., 21, 333, 10.1007/s00521-011-0702-7