A parameter based growing ensemble of self-organizing maps for outlier detection in healthcare
A parameter based growing ensemble of self-organizing maps for outlier detection in healthcare
About this item
Full title
Author / Creator
Publisher
New York: Springer US
Journal title
Language
English
Formats
Publication information
Publisher
New York: Springer US
Subjects
More information
Scope and Contents
Contents
Outlier detection is critical for many applications such as healthcare, health insurance, medical diagnosis, predictive analytics, pattern recognition, intrusion detection, anomaly or defect detection, video surveillance, credit card fraud detection and text mining. Outlier detection techniques could be statistics, distance- or model based. Techniq...
Alternative Titles
Full title
A parameter based growing ensemble of self-organizing maps for outlier detection in healthcare
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2918220827
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2918220827
Other Identifiers
ISSN
1386-7857
E-ISSN
1573-7543
DOI
10.1007/s10586-017-1327-0
