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Abstract

Time-varying data models store data related to time instances and offer different types of timestamping. These modeling approaches are considered as one of the most important parts of many database applications like metrological, banking, biomedical, accounting, scheduling, reservation systems, sensor based systems, real-time monitoring applications and applications involving maintenance of huge records. This research work introduces the state-of-the-art modeling approaches of Time-varying data. Furthermore we will show how to represent a running example using different approaches and give a comparison study of storage, and the ease of use of each model.