This repository contains the course work for SDP class WiSe 2020/21 in Hochschule Bonn-Rhein-Sieg.
- Manoj Kumar Murugan.
- Vishnu Vardhan Dadi.
- Krishna Nallanukala.
- Hammam Abdelwahab.
- Deebul Nair.
Uncertain : A First-Order Type for Uncertain Data
This project aims to implement the concepts discussed in the paper Uncertain <T> : A First-Order Type for Uncertain Data [1]. The paper discusses developing a generic data structure that enables to measure, and analyze with taking into consideration uncertainty aspects. This data structure enables non-statisticians developers to use use statistics easily in different applications.
- Python
- C++
[1]J. Bornholt, T. Mytkowicz, and K. S. McKinley, “Uncertain : A First-Order Type for Uncertain Data,” in Proceedings of the 19thinternational conference on Architectural support for programminglanguages and operating systems, New York, NY, USA, Feb. 2014,pp. 51–66, doi: 10.1145/2541940.2541958.