Unsupervised Learning of Multiple Motifs in Biopolymers Using Expectation Maximization
Machine Learning - Special issue on applications in molecular biology
Foundations of logic programming
Principles of knowledge representation
Finding motifs using random projections
RECOMB '01 Proceedings of the fifth annual international conference on Computational biology
Finding motifs in the twilight zone
Proceedings of the sixth annual international conference on Computational biology
The DLV system for knowledge representation and reasoning
ACM Transactions on Computational Logic (TOCL)
External sources of knowledge and value invention in logic programming
Annals of Mathematics and Artificial Intelligence
Outlier detection using default reasoning
Artificial Intelligence
External sources of computation for answer set solvers
LPNMR'05 Proceedings of the 8th international conference on Logic Programming and Nonmonotonic Reasoning
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The post-genomic era showed up a wide range of new challenging issues for the areas of knowledge discovery and intelligent information management. Among them, the discovery of complex pattern repetitions in string databases plays an important role, specifically in those contexts where even what are to be considered the interesting pattern classes is unknown. This paper provides a contribution in this precise setting, proposing a novel approach, based on disjunctive logic programming extended with several advanced features, for discovering interesting pattern classes from a given data set.