异常检测

导师的研究方向之一就是异常检测

我的对于异常检测的理解是：

（1）何为异常？

　　　　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]的定义：

"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 "