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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| Format: | Article |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://eprints.utp.edu.my/7144/1/Conference_Paper_Survey.pdf http://eprints.utp.edu.my/7144/ |
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| Institution: | Universiti Teknologi Petronas |
| Summary: | 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. |
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