Anomaly Detection via Over-sampling Principal Component Analysis
碩士 === 國立臺灣科技大學 === 資訊工程系 === 97 === Outlier detection is an important issue in data mining and has been studied in different research areas. It can be used for detecting a small amount of deviated data. In this article, we use ``Leave One Out" procedure to check each individual point for the `...
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| Format: | Others |
| Language: | en_US |
| Published: |
2009
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| Online Access: | http://ndltd.ncl.edu.tw/handle/31159755782188347722 |