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Forecasting container throughput of Qingdao port with a hybrid model., , , and . J. Systems Science & Complexity, 28 (1): 105-121 (2015)Forecasting Container Throughputs with Domain Knowledge., , and . ITQM, volume 31 of Procedia Computer Science, page 648-655. Elsevier, (2014)Intelligent Knowledge Beyond Data Mining: Influences of Habitual Domains., , , , and . CAIS, (2014)An Interval Knowledge Based Forecasting Paradigm for Container Throughput Prediction., , , , and . ITQM, volume 55 of Procedia Computer Science, page 1381-1389. Elsevier, (2015)Feature-selection-based dynamic transfer ensemble model for customer churn prediction., , , , and . Knowl. Inf. Syst., 43 (1): 29-51 (2015)Forecasting time series with genetic programming based on least square method., , , and . J. Systems Science & Complexity, 27 (1): 117-129 (2014)DEA-Based Comprehensive Evaluation of Intelligent Knowledge., , , , and . Web Intelligence/IAT Workshops, page 432-435. IEEE Computer Society, (2008)978-0-7695-3496-1.Improving Forecasting Performance by Exploiting Expert Knowledge: Evidence from Guangzhou Port., , , and . International Journal of Information Technology and Decision Making, 15 (2): 387-402 (2016)Analysis of vulnerabilities in maritime supply chains., , , and . Rel. Eng. & Sys. Safety, (2018)A Combined Forecast Method Integrating Contextual Knowledge., , and . IJKSS, 2 (4): 39-53 (2011)