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Titlebook: Combinatorial Pattern Matching; 15th Annual Symposiu Suleyman Cenk Sahinalp,S. Muthukrishnan,Ugur Dogru Conference proceedings 2004 Springe

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-Energy: Smart Demand-Side Energy Managemententire subtrees, as well as repeatedly removing a degree-2 node and adding the edge joining its two neighbors. In this paper we extend the Subtree Homeomorphism Problem to a new optimization problem by enriching the subtree-comparison with node-to-node similarity scores. The new problem, denoted . (
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Daphne Mah,Kaboo Po-yi Leung,Peter Hillsis called the . and it captures the “richness of the language” used in a sequence. For example, sequences with low complexity index contain a large number of repeated substrings and they eventually become periodic (e.g., tandem repeats in a DNA sequence). In order to identify unusually low- or high-
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https://doi.org/10.1007/978-3-319-98310-3 the pattern to a subset of the text. We introduce an approximate point set pattern matching for axis-sorted point sequences that allows a translation, space insertions and deletions between points. We present an approximate pattern matching algorithm that runs with pattern size . and text size . in
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Jakob Stoustrup,Anuradha Annaswamy,Zhihua Qungs . .,. . ,...,. . of length . minimizing . such that for each . . ∈ ., there is a length-. substring . . (closest substring) of . . with min . .(. .,. .) ≤ .. We give a PTAS for this problem, for .=.(1).. . . problem: find . median strings . .,. . ,...,. . of length . and a substring . . (consens
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Power Electronics and Power Systemstionaries for data compression and does not need to retain the input string, differently from other methods based on compact automata. The net effect is that of obtaining a lighter automaton than the directed acyclic word graph (DAWG) of Blumer et al., as it uses less nodes, still with arcs labeled
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Smart Grid Security: Attacks and Defensesic variation of the sequence similarity problem is the incremental string comparison problem, denoted ., which is, given two strings . and ., to compute the alignment solution of each suffix of . versus ...Here, we present two solutions to the Consecutive Suffix Alignment Problem under the LCS metri
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Takanori Ida,Makoto Tanaka,Koichiro Itoinput trees restricted to these leaves are isomorphic, resp. have a common refinement. For ., resp. ., on . rooted trees, we give an .(.{3. .,2.27.+. .}) exact algorithm, where . is the smallest number of leaves to remove from input trees in order for these trees to be isomorphic, resp. to admit a c
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