By Broňa Brejová, Daniel G. Brown, Ian M. Harrower (auth.), Alberto Apostolico, Maxime Crochemore, Kunsoo Park (eds.)
This ebook constitutes the refereed court cases of the sixteenth Annual Symposium on Combinatorial development Matching, CPM 2005, held in Jeju island, Korea on June 19-22, 2005.
The 37 revised complete papers offered have been conscientiously reviewed and chosen from 129 submissions. They represent unique learn contributions in combinatorial trend matching and its functions. one of the program fields addressed are computational biology, bioinformatics, genomics, proteinomics, info compression, series research and Graphs, info retrieval, facts research, and development recognition.
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Extra info for Combinatorial Pattern Matching: 16th Annual Symposium, CPM 2005, Jeju Island, Korea, June 19-22, 2005. Proceedings
Ukkonen. On-line construction of suﬃx trees. Algorithmica, 14:249–260, 1995. 32. P. Weiner. Linear pattern matching. In Proc. 14th IEEE Symp. on Switching and Automata Theory, pages 1–11. IEEE, 1973. kr Abstract. The compressed suﬃx array and the compressed suﬃx tree for a given string S are full-text index data structures occupying O(n log |Σ|) bits where n is the length of S and Σ is the alphabet from which symbols of S are drawn. When they were ﬁrst introduced, they were constructed from suﬃx arrays and suﬃx trees, which implies they were not constructed in optimal O(n log |Σ|)-bit working space.
Let x be a leaf in eti (S)P with label (id s , l) corresponding to a string s ∈ S. There exists t pref s with d(t, P ) = i if and only if l ≤ |P |. Thus, not all leaves found in eti (S)P correspond to i-error occurrences of P . To locate the correct leaves, we use range queries, see Section 6. 3. Finally, if P matches a preﬁx t of some string s ∈ S with exactly i errors, then there is a dichotomy. Let ρ(P, t) = (op 1 , op 2 , . . , op i ) be an ordered edit sequence. , a preﬁx p pref P of length |p| > hj is found in etj (S) and etj (S)p contains a leaf x with label (id s , l).
ACM Press, 2000. 4. A. Borodin, R. Ostrovsky, and Y. Rabani. Lower bounds for high dimensional nearest neighbor search and related problems. In Proc. 31st ACM Symp. on Theory of Computing (STOC), pages 312–321. ACM Press, 1999. 5. G. S. Brodal and L. G¸asieniec. Approximate dictionary queries. In Proc. 7th Symp. on Combinatorial Pattern Matching (CPM), volume 1075 of LNCS, pages 65–74, 1996. 6. A. L. Buchsbaum, M. T. Goodrich, and J. Westbrook. Range searching over tree cross products. In Proc.