On the complexity of learning strings and sequences
Theoretical Computer 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
Color Set Size Problem with Application to String Matching
CPM '92 Proceedings of the Third Annual Symposium on Combinatorial Pattern Matching
A Practical Algorithm to Find the Best Episode Patterns
DS '01 Proceedings of the 4th International Conference on Discovery Science
A practical algorithm to find the best subsequence patterns
Theoretical Computer Science
An O(N^2) Algorithm for Discovering Optimal Boolean Pattern Pairs
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Linear pattern matching algorithms
SWAT '73 Proceedings of the 14th Annual Symposium on Switching and Automata Theory (swat 1973)
Practical algorithms for pattern based linear regression
DS'05 Proceedings of the 8th international conference on Discovery Science
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Pattern discovery from string data is an important problem with many applications. In this paper, we give a brief overview of our work on the optimal correlated pattern discovery problem, which integrates numerical attribute information into the string pattern discovery process.