The digital physics of data mining
Communications of the ACM
Inference of regular languages using model simplicity
ACSC '01 Proceedings of the 24th Australasian conference on Computer science
Mining Sequential Patterns: Generalizations and Performance Improvements
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
PrefixSpan: Mining Sequential Patterns by Prefix-Projected Growth
Proceedings of the 17th International Conference on Data Engineering
Learning Stochastic Regular Grammars by Means of a State Merging Method
ICGI '94 Proceedings of the Second International Colloquium on Grammatical Inference and Applications
What Is the Search Space of the Regular Inference?
ICGI '94 Proceedings of the Second International Colloquium on Grammatical Inference and Applications
A lower bound on the sample size needed to perform a significant frequent pattern mining task
Pattern Recognition Letters
Towards chip-on-chip neuroscience: fast mining of neuronal spike streams using graphics hardware
Proceedings of the 7th ACM international conference on Computing frontiers
Coupling knowledge-based and data-driven systems for named entity recognition
HYBRID '12 Proceedings of the Workshop on Innovative Hybrid Approaches to the Processing of Textual Data
Sequential pattern mining -- approaches and algorithms
ACM Computing Surveys (CSUR)
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We show how frequently occurring sequential patterns may be found from large datasets by first inducing a finite state automaton model describing the data, and then querying the model.