Theoretical Computer Science
Polynomial-time learning of elementary formal systems
New Generation Computing
Discovering Unordered and Ordered Phrase Association Patterns for Text Mining
PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
CPM '01 Proceedings of the 12th Annual Symposium on Combinatorial Pattern Matching
A Practical Algorithm to Find the Best Subsequence Patterns
DS '00 Proceedings of the Third International Conference on Discovery Science
Discovering Best Variable-Length-Don't-Care Patterns
DS '02 Proceedings of the 5th International Conference on Discovery Science
Finding Best Patterns Practically
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
The Minimum DAWG for All Suffixes of a String and Its Applications
CPM '02 Proceedings of the 13th Annual Symposium on Combinatorial Pattern Matching
A practical algorithm to find the best subsequence patterns
Theoretical Computer Science
Episode directed acyclic subsequence graph
Nordic Journal of Computing
Algorithms for String Pattern Discovery
MDAI '07 Proceedings of the 4th international conference on Modeling Decisions for Artificial Intelligence
Journal of Discrete Algorithms
A new family of string classifiers based on local relatedness
DS'06 Proceedings of the 9th international conference on Discovery Science
Practical algorithms for pattern based linear regression
DS'05 Proceedings of the 8th international conference on Discovery Science
Composite pattern discovery for PCR application
SPIRE'05 Proceedings of the 12th international conference on String Processing and Information Retrieval
Discovering episodes with compact minimal windows
Data Mining and Knowledge Discovery
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Episode pattern is a generalized concept of subsequence pattern where the length of substring containing the subsequence is bounded. Given two sets of strings, consider an optimization problem to find a best episode pattern that is common to one set but not common in the other set. The problem is known to be NP-hard. We give a practical algorithm to solve it exactly.