The paper by Lee et al. [10] presents a knowledge-based freight management decision support system incorporating economies of scale with a multimodal minimum cost flow optimization approach.This study explicitly considers several multimodal freight transport options in terms of quantity, vehicle size, batch strategy, multi-modes, and combinations.They propose multimodal minimum cost flow problem formulation with concave equations due to economies of scale for quantity, nonlinear equations due to economies of scale for both quantity and distance, and non-continuous equations due to economies
of scale for vehicle size.The paper by Han [11] presents efficient decision support for detecting content polluters on social networks with an approach based on automatic knowledge acquisition from behavioral patterns.They propose a set of features that can be easily extracted from the messages and behaviors of Twitter users, and constructs a new breed of classifiers based on these features.