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Frequent pattern-based outlier detection measurements: A survey

Brahim Belhaouari Samir, BBS (2011) Frequent pattern-based outlier detection measurements: A survey. 32. IEEE International Conference on Research and Innovation Systems .

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Abstract

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.

Item Type:Article
Impact Factor:IEEE, ISI, SCOPUS
Subjects:Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments / MOR / COE:Mission Oriented Research > Megacities
Mission Oriented Research > Health
Departments > Fundamental & Applied Sciences
ID Code:7144
Deposited By: Dr Samir Brahim Belhaouari
Deposited On:12 Dec 2011 07:25
Last Modified:19 Jan 2017 08:22

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