Contextual anomaly detection framework for big sensor data

Michael A Hayes; Miriam AM Capretz

doi:10.1186/s40537-014-0011-y

Verified recordOpen access

Contextual anomaly detection framework for big sensor data

Michael A Hayes, Miriam AM Capretz

Journal of Big Data2015doi:10.1186/s40537-014-0011-y

Citation graph

Abstract

No public abstract is available from the verified source records.

Open public full text

Rights: ALLOWED · cc-by · Source: journal-auto-sync:external:CROSSREF_ISSN

Authors

Michael A Hayes#1 Miriam AM Capretz#2

Institutions

No ROR-resolved institution is linked to this work yet.

Provenance

crossref

Confidence 100%

unpaywall

Confidence 95%

datacite

Confidence 0%

Referenced works

View all references →

No local reference links have been materialized yet.

Cited by

View all cited-by records →

No local citing links have been materialized yet.

External reference records

10.1145/1541880.1541882

10.1145/1541880.1541882 · 2009

Unresolved referenced work

2009

Unresolved referenced work

2014

10.1089/big.2013.0010

10.1089/big.2013.0010 · 2013

10.1016/j.eswa.2004.07.002

10.1016/j.eswa.2004.07.002 · 2004

Unresolved referenced work

2006

10.1145/1327452.1327492

10.1145/1327452.1327492 · 2008

10.1109/mwc.2008.4599219

10.1109/mwc.2008.4599219 · 2008

10.1109/tkde.2007.1009

10.1109/tkde.2007.1009 · 2007

10.1016/j.envsoft.2009.08.010

10.1016/j.envsoft.2009.08.010 · 2010

Unresolved referenced work

2009

Unresolved referenced work

2010

10.3390/a5040469

10.3390/a5040469 · 2012

Contextual anomaly detection framework for big sensor data

Referenced works

Cited by

External reference records

Additional external references