@inproceedings{c103060cf8e540209992ea02c3cc8ba2,
title = "Quality assurance for security applications of big data",
abstract = "The quality of inferences drawn from data, big or small, is heavily dependent on the quality of the data and the quality of the processes applied to it. Big data analytics is emerging from laboratories and being applied to intelligence and security needs. To achieve confidence in the outcomes of these applications, a quality assurance framework is needed. This paper outlines the challenges, and draws attention to the consequences of misconceived and misapplied projects. It presents key aspects of the necessary risk assessment and risk management approaches, and suggests opportunities for research.",
keywords = "Data scrubbing, Data semantics, Decision quality, Information quality, Risk assessment, Risk management, Transparency",
author = "Roger Clarke",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 7th European Intelligence and Security Informatics Conference, EISIC 2016 ; Conference date: 17-08-2016 Through 19-08-2016",
year = "2017",
month = mar,
day = "2",
doi = "10.1109/EISIC.2016.010",
language = "English",
series = "Proceedings - 2016 European Intelligence and Security Informatics Conference, EISIC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--8",
editor = "Joel Brynielsson and Fredrik Johansson",
booktitle = "Proceedings - 2016 European Intelligence and Security Informatics Conference, EISIC 2016",
address = "United States",
}