Salatian, A. (2013) Validating the INTERPRETOR Software Architecture for the Interpretation of Large and Noisy Data Sets. In: Integrated Models for Information Communication Systems and Networks: Design and Development. IGI-Global.
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Abstract
In this chapter, the authors validate INTERPRETOR software architecture as a dataflow model of com- putation for filtering, abstracting, and interpreting large and noisy datasets with two detailed empirical studies from the authors’ former research endeavours. Also discussed are five further recent and distinct systems that can be tailored or adapted to use the software architecture. The detailed case studies pre- sented are from two disparate domains that include intensive care unit data and building sensor data. By performing pattern mining on five further systems in the way the authors have suggested herein, they argue that INTERPRETOR software architecture has been validated.
| Item Type: | Book Section |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Engineering Sciences |
| Depositing User: | Mr Adewole Adewumi |
| Date Deposited: | 13 Aug 2013 21:52 |
| Last Modified: | 13 Aug 2013 21:52 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/1287 |
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