BIRCH: an efficient data clustering method for very large databases
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
CURE: an efficient clustering algorithm for large databases
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Proceedings of the fourth international symposium on Integrated network management IV
Intelligent filtering in network management systems
Proceedings of the fourth international symposium on Integrated network management IV
Yemanja—A Layered Fault Localization System for Multi-Domain Computing Utilities
Journal of Network and Systems Management
Data Mining and Forecasting in Large-Scale Telecommunication Networks
IEEE Expert: Intelligent Systems and Their Applications
An Online Algorithm for Segmenting Time Series
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Time Series Segmentation for Context Recognition in Mobile Devices
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
A Data Mining Methodology and Its Application to Semi-Automatic Knowledge Acquisition
DEXA '97 Proceedings of the 8th International Workshop on Database and Expert Systems Applications
Model-Based Alarm Correlation in Cellular Phone Networks
MASCOTS '97 Proceedings of the 5th International Workshop on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems
Automatic alarm correlation for fault identification
INFOCOM '95 Proceedings of the Fourteenth Annual Joint Conference of the IEEE Computer and Communication Societies (Vol. 2)-Volume - Volume 2
Clustering intrusion detection alarms to support root cause analysis
ACM Transactions on Information and System Security (TISSEC)
Reliable detection of episodes in event sequences
Knowledge and Information Systems
Topographical proximity for mining network alarm data
Proceedings of the 2005 ACM SIGCOMM workshop on Mining network data
Dynamic syslog mining for network failure monitoring
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
An integrated framework on mining logs files for computing system management
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
l-DBSCAN: A Fast Hybrid Density Based Clustering Method
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Proceedings of the ACM first Ph.D. workshop in CIKM
Event Correlation in Integrated Management: Lessons Learned and Outlook
Journal of Network and Systems Management
Mining follow-up correlation patterns from time-related databases
Knowledge and Information Systems
FGCN '07 Proceedings of the Future Generation Communication and Networking - Volume 01
Mining partial periodic correlations in time series
Knowledge and Information Systems
A survey on algorithms for mining frequent itemsets over data streams
Knowledge and Information Systems
An alarm management framework for automated network fault identification
Computer Communications
| Hi-index | 0.01 |
This paper introduces a new approach to deal with the fault recognition problem in modern telecommunication networks, called Behavioural Proximity Discovery (BPD). BPD is a framework for root cause analysis that consists of three complementary clustering algorithms based on alarm behaviours. It provides a complete and adaptive solution to the network manager who can then decide of the repair actions to restore the network back to a normal state. An evaluation of this approach on both simulated and real data from 3G mobile-networks is presented and discussed.