A 1NF Data Model for Representing Time-Varying Data in Relational Framework
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 2
Abstract
Attaching Date and Time to varying data plays a definite role in representing a dynamic domain and resources on the database systems. The conventional database stores current data and can only represent the knowledge in static sense, whereas Time-varying database represents the knowledge in dynamic sense. This paper focuses on incorporating interval-based timestamping in First Normal Form (1NF) data model. 1NF approach has been chosen for the easily implementation in relational framework as well as to provide the temporal data representation with the modeling and querying power of relational data model. Simulation results revealed that the proposed approach substantially improved the performance of temporal data representation in terms of required memory storage and queries processing time.
Authors and Affiliations
Nashwan Alromema, Fahad Alotaibi
Keywords
Related Articles
- EP ID EP276762
- DOI 10.14569/IJACSA.2018.090225
- Views 114
- Downloads 0
An Amplitude Modulation of Cerebral Rhythms based Method in a Motor Task BCI Paradigm
Quantitative evaluation based on amplitude modulation analysis of electroencephalographic signals is proposed for a brain computer interface paradigm. The method allows characterization of the interaction effects of diff...
Breast Cancer Classification in Histopathological Images using Convolutional Neural Network
Computer based analysis is one of the suggested means that can assist oncologists in the detection and diagnosis of breast cancer. On the other hand, deep learning has been promoted as one of the hottest research directi...
TCP I-Vegas in Mobile-IP Network
Mobile Internet Protocol (Mobile-IP or MIP) provides hosts with the ability to change their point of attachment to the network without compromising their ability to communicate. However, when TCP Vegas is used over a MIP...
Sustainable Green SLA (GSLA) Validation using Bayesian Network Model
Currently, most of the IT (Information Technology) and ICT (Information and Communication Technology) industries/companies provides their various services/product at a different level of customers/users through newly dev...
LASyM: A Learning Analytics System for MOOCs
Nowadays, the Web has revolutionized our vision as to how deliver courses in a radically transformed and enhanced way. Boosted by Cloud computing, the use of the Web in education has revealed new challenges and looks for...