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Multivariate Conditional Outlier Detection: Identifying Unusual Input-Output Associations in Data

We study multivariate conditional outlier detection, a special type of the conditional outlier detection problem, where data instances consist of continuous input (context) and binary output (responses) vectors. We present a novel outlier detection framework that identifies abnormal input-output ass...

詳細記述

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書誌詳細
出版年:Proc Int Fla AI Res Soc Conf
主要な著者: Hong, Charmgil, Hauskrecht, Milos
フォーマット: Artigo
言語:Inglês
出版事項: 2018
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6364855/
https://ncbi.nlm.nih.gov/pubmed/30740607
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