Detection of Anomalies From Dataset Using Distributed Methods
Detection of anomalies has been an ergonomic way to attention in many application and research area. This paper includes with the detection of network intrusion, malware detection, biological data, image processing etc. The related researches were based on pair wise distance among all points in dataset. This approach is based on the concept of anomaly detection solving set, which is a small subset of the data set that can be also used for predicting unusual anomalies too.