Quantitative results concerning the utility of explanation-based learning
Artificial Intelligence
Explaining and repairing plans that fail
Artificial Intelligence
Finding interesting rules from large sets of discovered association rules
CIKM '94 Proceedings of the third international conference on Information and knowledge management
Understanding planner behavior
Artificial Intelligence - Special volume on planning and scheduling
An algorithm for probabilistic planning
Artificial Intelligence - Special volume on planning and scheduling
Mining quantitative association rules in large relational tables
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Fast discovery of association rules
Advances in knowledge discovery and data mining
Data mining, hypergraph transversals, and machine learning (extended abstract)
PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Learning situation-dependent costs: improving planning from probabilistic robot execution
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Efficient enumeration of frequent sequences
Proceedings of the seventh international conference on Information and knowledge management
TRIPs: an integrated intelligent problem-solving assistant
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Discovery of Frequent Episodes in Event Sequences
Data Mining and Knowledge Discovery
Parallel Algorithms for Discovery of Association Rules
Data Mining and Knowledge Discovery
Parallel Mining of Association Rules
IEEE Transactions on Knowledge and Data Engineering
Mining Sequential Patterns: Generalizations and Performance Improvements
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
Knowledge Discovery from Telecommunication Network Alarm Databases
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Discovery of Multiple-Level Association Rules from Large Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Mining Generalized Association Rules
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Using conjunction of attribute values for classification
Proceedings of the eleventh international conference on Information and knowledge management
COACH: cumulative online algorithm for classification of handwriting deficiencies
IAAI'08 Proceedings of the 20th national conference on Innovative applications of artificial intelligence - Volume 3
Mining consequence events in temporal health data
Intelligent Data Analysis - Knowledge Discovery in Bioinformatics
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This paper presents the PlanMine sequence mining algorithm to extract patterns of events that predict failures in databases of plan executions. New techniques were needed because previous data miningalgorithms were overwhelmed by the staggering number of very frequent,but entirely unpredictive patterns that exist in the plan database.This paper combines several techniques for pruning out unpredictiveand redundant patterns which reduce the size of the returned rule setby more than three orders of magnitude. PlanMine has also beenfully integrated into two real-world planning systems. We experimentally evaluate the rules discovered by PlanMine, and show that theyare extremely useful for understanding and improving plans, as wellas for building monitors that raise alarms before failures happen.