Towards a practical alarm correlation system
Proceedings of the fourth international symposium on Integrated network management IV
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Machine Learning
The Vision of Autonomic Computing
Computer
Mining Partially Periodic Event Patterns with Unknown Periods
Proceedings of the 17th International Conference on Data Engineering
Mining Temporal Patterns Without Predefined Time Windows
ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining
Mining Logs Files for Computing System Management
ICAC '05 Proceedings of the Second International Conference on Automatic Computing
Towards informatic analysis of syslogs
CLUSTER '04 Proceedings of the 2004 IEEE International Conference on Cluster Computing
Discovering actionable patterns in event data
IBM Systems Journal
Orthogonal nonnegative matrix t-factorizations for clustering
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Event summarization for system management
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the ACM first Ph.D. workshop in CIKM
Analyzing system logs: a new view of what's important
SYSML'07 Proceedings of the 2nd USENIX workshop on Tackling computer systems problems with machine learning techniques
Clustering event logs using iterative partitioning
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
One Graph Is Worth a Thousand Logs: Uncovering Hidden Structures in Massive System Event Logs
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Diagnosis of recurrent faults using log files
CASCON '09 Proceedings of the 2009 Conference of the Center for Advanced Studies on Collaborative Research
Symptom-based problem determination using log data abstraction
Proceedings of the 2010 Conference of the Center for Advanced Studies on Collaborative Research
Behavioural Proximity Discovery: an adaptive approach for root cause analysis
International Journal of Business Intelligence and Data Mining
Proceedings of the 20th ACM international conference on Information and knowledge management
LogSig: generating system events from raw textual logs
Proceedings of the 20th ACM international conference on Information and knowledge management
Spatio-temporal decomposition, clustering and identification for alert detection in system logs
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Discovering lag intervals for temporal dependencies
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
An integrated framework for optimizing automatic monitoring systems in large IT infrastructures
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
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Traditional approaches to system management have been largely based on domain experts through a knowledge acquisition process that translates domain knowledge into operating rules and policies. This has been well known and experienced as a cumbersome, labor intensive, and error prone process. In addition, this process is difficult to keep up with the rapidly changing environments. In this paper, we will describe our research efforts on establishing an integrated framework for mining system log files for automatic management. In particular, we apply text mining techniques to categorize messages in log files into common situations, improve categorization accuracy by considering the temporal characteristics of log messages, develop temporal mining techniques to discover the relationships between different events, and utilize visualization tools to evaluate and validate the interesting temporal patterns for system management.