異常檢測

導師的研究方向之一就是異常檢測

我的對於異常檢測的理解是：

（1）何爲異常？

　　　　In data mining, anomaly detection (also outlier detection) is the identification of items, events or observations which do not conform to an expected pattern or other items in a dataset. -Wikipedia Anomaly Detection

 

Hawkins [Hawkins 1980]的定義：

"An outlier is an observation which deviates so much from the other observations as to arouse suspicions that it was generated by a different mechanism "