2017•International Journal of Advanced Research in Computer ScienceOpen access

A Novel Study of Attribute time stamping models in Temporal Database

Aman Jolly, Shailender Kumar

Abstract

Time-based data is efficiently managed by temporal database models whereas the conventional database models are only capable of storing the present value, temporal database models not only stores historic values but also provide a roadmap to process future valid data. This paper briefly introduces some vital temporal database concepts. After that, various attribute time stamping models are examined in this domain. Finally, a comparative analysis of the various attribute timestamp models is prepared to discuss their strengths and weaknesses of their Implementations and provide useful and optimized results for solving the problems in the field of the temporal database model.

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Key concepts: Timestamp, Computer science, Temporal database, Database, Database design, Data mining, Database model, Field (mathematics)