Beyond market baskets: generalizing association rules to correlations
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Mining asynchronous periodic patterns in time series data
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining patterns in long sequential data with noise
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
Basic Concepts for Managing Telecommunications Networks: Copper to Sand to Glass to Air
Basic Concepts for Managing Telecommunications Networks: Copper to Sand to Glass to Air
Mining Sequential Patterns: Generalizations and Performance Improvements
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Survey of Text Mining
Network Management: Current Trends and Future Perspectives
Journal of Network and Systems Management
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Event Correlation in Integrated Management: Lessons Learned and Outlook
Journal of Network and Systems Management
Telecom Alarm Prioritization Using Neural Networks
AINAW '08 Proceedings of the 22nd International Conference on Advanced Information Networking and Applications - Workshops
OSI systems and network management
IEEE Communications Magazine
Logical inventory database integration into alarm correlations discovery environment
International Journal of Intelligent Information and Database Systems
Inference of network anomaly propagation using spatio-temporal correlation
Journal of Network and Computer Applications
Survey A model-based survey of alert correlation techniques
Computer Networks: The International Journal of Computer and Telecommunications Networking
Closeness Preference - A new interestingness measure for sequential rules mining
Knowledge-Based Systems
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This paper introduces an intelligent system that performs alarm correlation and root cause analysis. The system is designed to operate in large-scale heterogeneous networks from telecommunications operators. The proposed architecture includes a rules management module that is based in data mining (to generate the rules) and reinforcement learning (to improve rule selection) algorithms. In this work, we focus on the design and development of the rule generation part and test it using a large real-world dataset containing alarms from a Portuguese telecommunications company. The correlation engine achieved promising results, measured by a compression rate of 70% and assessed in real-time by experienced network administrator staff.