Anomaly detection in a mobile communication network |
| |
| Authors: | Alec Pawling Nitesh V. Chawla Greg Madey |
| |
| Affiliation: | (1) Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN 46556, USA |
| |
| Abstract: | Mobile communication networks produce massive amounts of data which may be useful in identifying the location of an emergency situation and the area it affects. We propose a one pass clustering algorithm for quickly identifying anomalous data points. We evaluate this algorithm’s ability to detect outliers in a data set and describe how such an algorithm may be used as a component of an emergency response management system. |
| |
| Keywords: | Anomaly detection Communication network Data clustering Data mining |
| 本文献已被 SpringerLink 等数据库收录！ |
