Advancements of Outlier Detection: A Survey
Достижения в обнаружении выбросов: обзор
2013-02-04
SCID: 54.1/styxpy9m
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abnormal patternsdata miningirregular patternsoutlier detectionoutlier detection techniques
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Abstract (AI)
Outlier detection is an important research problem in data mining that aims to discover useful abnormal and irregular patterns hidden in large datasets. In this paper, we present a survey of outlier detection techniques to reflect the recent advancements in this field. The survey will not only cov
Key Findings
1
Outlier detection is characterized as an important research problem because anomalous patterns can provide useful information hidden within large datasets.
2
The abstract indicates broad coverage of outlier detection techniques, although the provided text is truncated and does not specify particular methods or results.
3
The paper surveys recent advancements in outlier detection, a data-mining task for discovering abnormal and irregular patterns in large datasets.
Research Object
outlier detection techniques
Research Subject
recent advancements in outlier detection techniques
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Publication Date
2013-02-04
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