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Frequent pattern-based outlier detection measurements: A survey

Outlier detection is one of the main data mining tasks. The outliers in data are more significant and interesting than common ones in a wide variety of application domains. Recently, a new trend for detecting the outlier by discovering frequent patterns (or frequent itemsets) from the data set has b...

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Main Author: Brahim Belhaouari Samir, BBS
Format: Article
Published: 2011
Subjects:
Q Science (General)
QA75 Electronic computers. Computer science
Online Access:http://eprints.utp.edu.my/7144/1/Conference_Paper_Survey.pdf
http://eprints.utp.edu.my/7144/
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spelling my.utp.eprints.71442017-01-19T08:22:15Z Frequent pattern-based outlier detection measurements: A survey Brahim Belhaouari Samir, BBS Q Science (General) QA75 Electronic computers. Computer science Outlier detection is one of the main data mining tasks. The outliers in data are more significant and interesting than common ones in a wide variety of application domains. Recently, a new trend for detecting the outlier by discovering frequent patterns (or frequent itemsets) from the data set has been studies. In this paper, we present a summarization study of the available outlier detection measurements which are based on the frequent patterns discovery. 2011-11-22 Article PeerReviewed application/pdf http://eprints.utp.edu.my/7144/1/Conference_Paper_Survey.pdf Brahim Belhaouari Samir, BBS (2011) Frequent pattern-based outlier detection measurements: A survey. 32. IEEE International Conference on Research and Innovation Systems . http://eprints.utp.edu.my/7144/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic Q Science (General)
QA75 Electronic computers. Computer science
spellingShingle Q Science (General)
QA75 Electronic computers. Computer science
Brahim Belhaouari Samir, BBS
Frequent pattern-based outlier detection measurements: A survey
description Outlier detection is one of the main data mining tasks. The outliers in data are more significant and interesting than common ones in a wide variety of application domains. Recently, a new trend for detecting the outlier by discovering frequent patterns (or frequent itemsets) from the data set has been studies. In this paper, we present a summarization study of the available outlier detection measurements which are based on the frequent patterns discovery.
format Article
author Brahim Belhaouari Samir, BBS
author_facet Brahim Belhaouari Samir, BBS
author_sort Brahim Belhaouari Samir, BBS
title Frequent pattern-based outlier detection measurements: A survey
title_short Frequent pattern-based outlier detection measurements: A survey
title_full Frequent pattern-based outlier detection measurements: A survey
title_fullStr Frequent pattern-based outlier detection measurements: A survey
title_full_unstemmed Frequent pattern-based outlier detection measurements: A survey
title_sort frequent pattern-based outlier detection measurements: a survey
publishDate 2011
url http://eprints.utp.edu.my/7144/1/Conference_Paper_Survey.pdf
http://eprints.utp.edu.my/7144/
_version_ 1738655549806870528
score 13.211869

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