Markov Modeling and Analysis of Team Communication
提出一种预测性数据分析流程，通过三种数据抽象技术和三种概率模型，分析团队沟通与任务完成时间及成本的关系，并用32个三人小组的实验数据验证。
This paper presents a predictive data analytics process for examining the relationship between team communication and performance in planning tasks. Team performance is measured in terms of the time each team spends in completing the planning task and the cost of the concomitant work schedule. The predictive data analytics process encompasses three data abstraction techniques for data preparation, three probabilistic models that represent the temporal features of data abstracted from team communication interactions, and a validation process that selects the best pair of data abstraction and model for subsequent insight analysis. Experimental data obtained from 32 teams of three members each, tasked to solve a personnel scheduling problem, is used for validating the proposed methodology.