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1, The Effect of Released Information on Searching for Missing Children: The Case of the Baby Back Home Network; Yang, F. Nuermarti Y. Huang, Z. 2, Enhanced Multicriteria Scoring Model; Ko, K. 3, Forecasting Treatment Outcomes for the Futures Drug and Alcohol Rehabilitation Content; Miori, V., Campbell Garwood, K., Cardamone, C. 4, An oversampling technique for classifying imbalanced datasets; Nguyen, S.,Quinn, J., Olinsky, A. 5, Funding Analytics: A Predictive Analysis in a Major State Research University; Lawrence, K., Kudbya, S., Lawrence, S. M. 6, A Novel Approach to Forecasting Regression and Cluster Analysis; Klimberg, R., Ratick, S., Smith, H. 7, Forecasting Development of a Practical and Effective Forecasting Performance Measure; Klimberg, R., Ratick, S. 8, Assessing the Design of Control Charts for Intermittent Data; Lindsey, M., Pavur, R. 9, On the Causal Models of Fuzzy Time Series; Duru, O. 10, Modeling and Forecasting with Fuzzy Time Series and Artificial Neural Networks, Duru, O.; Butler, M. 11, Forecasting in Service Supply Chain Systems: A State-of-the-Art Review Using Latent Semantic Analysis; Sudhanshu, J.
Business scholars discuss forecasting applications; predictive analytics, regression analysis, and clustering in forecasting; and time series, intermittent data, and supply chain applications. Among the topics are the effect of releasing information on searching for missing children: the case of the Baby Back Home network, forecasting treatment outcomes for the Futures drug and alcohol rehabilitation center, a novel approach to forecasting regression and cluster analysis, developing a practical and effective forecasting performance measure, and forecasting in-service supply chain systems: a state-of-the-art review using latent semantic analysis.