Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Predicting equity returns from securities data
Advances in knowledge discovery and data mining
Efficiently mining long patterns from databases
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Mining frequent patterns without candidate generation
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Depth first generation of long patterns
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Can we push more constraints into frequent pattern mining?
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Fast ordering of large categorical datasets for better visualization
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Discovery of Frequent Episodes in Event Sequences
Data Mining and Knowledge Discovery
Beyond Market Baskets: Generalizing Association Rules to Dependence Rules
Data Mining and Knowledge Discovery
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Mining Partially Periodic Event Patterns with Unknown Periods
Proceedings of the 17th International Conference on Data Engineering
Mining Mutually Dependent Patterns
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
FARM: A Framework for Exploring Mining Spaces with Multiple Attributes
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Efficient Mining of Partial Periodic Patterns in Time Series Database
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Web Mining: Information and Pattern Discovery on the World Wide Web
ICTAI '97 Proceedings of the 9th International Conference on Tools with Artificial Intelligence
High speed and robust event correlation
IEEE Communications Magazine
DM-AMS: employing data mining techniques for alert management
dg.o '05 Proceedings of the 2005 national conference on Digital government research
Demand-driven frequent itemset mining using pattern structures
Knowledge and Information Systems
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
Mining logs files for data-driven system management
ACM SIGKDD Explorations Newsletter - Natural language processing and text mining
Event summarization for system management
Proceedings of the 13th 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
Detecting large-scale system problems by mining console logs
Proceedings of the ACM SIGOPS 22nd symposium on Operating systems principles
Diagnosis of recurrent faults using log files
CASCON '09 Proceedings of the 2009 Conference of the Center for Advanced Studies on Collaborative Research
SALSA: analyzing logs as state machines
WASL'08 Proceedings of the First USENIX conference on Analysis of system logs
Mining console logs for large-scale system problem detection
SysML'08 Proceedings of the Third conference on Tackling computer systems problems with machine learning techniques
Zinsight: a visual and analytic environment for exploring large event traces
Proceedings of the 5th international symposium on Software visualization
Symptom-based problem determination using log data abstraction
Proceedings of the 2010 Conference of the Center for Advanced Studies on Collaborative Research
Towards proactive event-driven computing
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LogSig: generating system events from raw textual logs
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Fast extraction of adaptive change point based patterns for problem resolution in enterprise systems
DSOM'06 Proceedings of the 17th IFIP/IEEE international conference on Distributed Systems: operations and management
An agent for the HCARD model in the distributed environment
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Association rule discovery in data mining by implementing principal component analysis
AIS'04 Proceedings of the 13th international conference on AI, Simulation, and Planning in High Autonomy Systems
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
CAPRI: a tool for mining complex line patterns in large log data
Proceedings of the 2nd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
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Applications such as those for systems management and intrusion detection employ an automated real-time operation system in which sensor data are collected and processed in real time. Although such a system effectively reduces the need for operation staff, it requires constructing and maintaining correlation rules. Currently, rule construction requires experts to identify problem patterns, a process that is time-consuming and error-prone. In this paper, we propose reducing this burden by mining historical data that are readily available. Specifically, we first present efficient algorithms to mine three types of important patterns from historical event data: event bursts, periodic patterns, and mutually dependent patterns. We then discuss a framework for efficiently mining events that have multiple attributes. Last, we present Event Correlation Constructor--a tool that validates and extends correlation knowledge.