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Direct Research Journals
Direct Research Journal of Engineering and Information Technology:Vol.4 (2), pp. 8-14, October 2017
ISSN 2354-4155

Survey of Time-varying Data Models
Article Number: DRJA14030161
DOI: doi.org/10.26765/DRJEIT.2017.0161

Original Research Article


*1Terungwa Simon Yange, 2Oluoha, O., 3Hettie Abimbola Soriyan and 4Adenike Olaogun

 


1Department of Mathematics/Statistics/Computer Science, Federal University of Agriculture, Makurdi, Nigeria.

2Department of Computer Science, University of Nigeria, Nsukka.

3Department of Computer Science and Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria.

4Department of Nursing Science, Obafemi Awolowo University, Ile-Ife, Nigeria.

*Corresponding author E-mail:  lordesty2k7@ymail.com .


date Received: February 20, 2017     date Accepted: October 8, 2017     date Published: October 26, 2017

Abstract

There are two types of data models: time-varying (temporal) data model and non-temporal data model. Data in the real-world exist in three (3) states: past, present, and future; the past state is refers to as history, current/present is the valid state, and the future is that which supposed to valid after the current state. Data assumes these states as time progresses. Non-temporal data model only represent present state of data. With the time-varying model, it is possible to represent these three states. In this paper, we carry out the review of the time-vary data model and proposed a temporal data model for nursing process.


Key words: Data, temporal data, model, time-varying, nursing process.