Titlebook: Combinatorial Pattern Matching; 25th Annual Symposiu Alexander S. Kulikov,Sergei O. Kuznetsov,Pavel Pev Conference proceedings 2014 Springe

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ANN

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An Improved Query Time for Succinct Dynamic Dictionary Matching,me is .((loglog.) log.), where . is the size of the alphabet..A byproduct of this paper is an Aho-Corasick automaton that can be constructed with only a compact working space, which is the first of its type to the best of our knowledge.

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Advances in 21st Century Human Settlementsstring, while their algorithm uses the suffix tree of the string and other auxiliary data structures. Our theoretical results are validated by an empirical study that shows our method is much faster and more space-saving.

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Shortest Unique Substring Query Revisited,string, while their algorithm uses the suffix tree of the string and other auxiliary data structures. Our theoretical results are validated by an empirical study that shows our method is much faster and more space-saving.

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Conference proceedings 2014ng computational problems. The meeting also deals with problems in computational biology; data compression and data mining; coding; information retrieval; natural language processing; and pattern recognition.

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https://doi.org/10.1007/978-3-319-74549-7olving other problems on-line. In particular we consider approximate pattern matching by non-overlapping reversals. This is the problem where two strings . and . are given and the question is whether applying a sequence of non-overlapping reversals to . results in string ..