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The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Data quality assessment and anomaly detection via map/reduce and linked data: a case study in the medical domain

Lookup NU author(s): Dr Stephen McGough, Dr John Brennan

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This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by IEEE, 2015.

For re-use rights please refer to the publisher's terms and conditions.

Publication metadata

Author(s): Bonner S, McGough AS, Kureshi I, Brennan J, Theodoropoulos G, Moss L, Corsar D, Antoniou G

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 2015 IEEE International Conference on Big Data (Big Data)

Year of Conference: 2015

Online publication date: 28/12/2015

Acceptance date: 28/09/2015

Date deposited: 29/09/2018

Publisher: IEEE

URL: https://doi.org/10.1109/BigData.2015.7363818

DOI: 10.1109/BigData.2015.7363818

Library holdings: Search Newcastle University Library for this item

ISBN: 9781479999262

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