ODRA: an outlier detection algorithm based on relevant attribute analysis method

Volume: 24, Issue: 1, Pages: 569 - 585
Published: Jun 13, 2020
Abstract
Advances in data acquisition have generated an enormous amount of data that captures business, commercial, technological and scientific information. However, some occurrences are rare or unusual, irrespective of a large amount of data available. These rare occurrences in data mining are usually referred to as outliers or anomalies. All these rare occurrences are infrequent. Sometimes it varies from 0.01% to 10% depending on the type of...
Paper Details
Title
ODRA: an outlier detection algorithm based on relevant attribute analysis method
Published Date
Jun 13, 2020
Volume
24
Issue
1
Pages
569 - 585
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