Fig. 1. A schedule-based system where entities entering and exiting the system are tracked with RFID.
A schedule-based system is a system that operates on or contains within a schedule of events and breaks at particular time intervals. Given RFID data from a schedule-based system, what set of actions and computations, and what type of data mining methods can be applied so that one can obtain actionable insights regarding the system and domain? The research goal of this paper is to answer this posed research question through the development of a framework that systematically produces actionable insights for a given schedule-based system. We show that through integrating appropriate data analysis methodologies as a uniﬁed framework, one can obtain many insights from even a very simple RFID dataset, which contains only very few ﬁelds. The developed framework is general, and is applicable to any schedule-based system, as long as it operates under a few basic assumptions. The types of insights are also general, and are formulated in the most abstract possible way. The applicability of the developed framework is illustrated through a case study, where real world data from a schedule-based system is analyzed using the introduced framework. Insights obtained include the proﬁling of entities and events, the interactions between entity and events, and the relations between events.
Please cite this paper as follows:
Ertek, G., Chi, X., & Zhang, A. N. (2017). A Framework for Mining RFID Data From Schedule-Based Systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(11), 2967-2984. DOI: 10.1109/TSMC.2016.2557762
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