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JUCS
2006

Data Mining Methods for Discovering Interesting Exceptions from an Unsupervised Table

13 years 3 months ago
Data Mining Methods for Discovering Interesting Exceptions from an Unsupervised Table
Abstract: In this paper, we survey efforts devoted to discovering interesting exceptions from data in data mining. An exception differs from the rest of data and thus is interesting and can be a clue for further discoveries. We classify methods into exception instance discovery, exception rule discovery, and exception structured-rules discovery
Einoshin Suzuki
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2006
Where JUCS
Authors Einoshin Suzuki
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