The University of Southampton
University of Southampton Institutional Repository

Anomaly detection for database systems

Anomaly detection for database systems
Anomaly detection for database systems
8,504,876
Chapman, Adriane
721b7321-8904-4be2-9b01-876c430743f1
Mork, Peter
bbf65c40-4b34-4f58-b5d8-a044852dd00a
Samuel, Ken
8d3410be-e45b-419f-bd44-0a6a4a17edc8
Vayndiner, Irina
ea192f86-454b-4f32-b1fc-ef1cac386ef0
Moore, David
3b5e246f-616d-4a9d-9f14-3e33911a8358

Chapman, Adriane, Mork, Peter, Samuel, Ken, Vayndiner, Irina and Moore, David (Inventors) (2013) Anomaly detection for database systems. 8,504,876.

Record type: Patent

This record has no associated files available for download.

More information

Published date: 6 August 2013
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 411428
URI: http://eprints.soton.ac.uk/id/eprint/411428
PURE UUID: 6b61bafe-7f6b-4ade-858c-71649354cfe6
ORCID for Adriane Chapman: ORCID iD orcid.org/0000-0002-3814-2587

Catalogue record

Date deposited: 20 Jun 2017 16:31
Last modified: 12 Dec 2021 04:16

Export record

Contributors

Inventor: Adriane Chapman ORCID iD
Inventor: Peter Mork
Inventor: Ken Samuel
Inventor: Irina Vayndiner
Inventor: David Moore

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×