Titlebook: Combinatorial Pattern Matching; 18th Annual Symposiu Bin Ma,Kaizhong Zhang Conference proceedings 2007 Springer-Verlag Berlin Heidelberg 20

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Smart Grid Inspired Future Technologiest strings (and afterwards the next . etc.) This on-demand variant strongly resembles the search engine queries which give you the best .-ranked pages recurringly..We present a data structure that supports this in .(.) preprocessing time, and answers queries in .(log.) time. There is also a cost of .

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Smart Grid Inspired Future Technologiesthe pattern and the text. This problem is one of several string matching problems that ask to not only to find where the pattern matches the text, under different “match” definitions, but also to provide . to the match. Other such problems include: .-aligned ones [4], .-witnesses, and .-mismatches [

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Smart Grid Inspired Future Technologies we want to construct an index of . such that for any input pattern ., we can find all its .-error matches in . efficiently. This problem is well-studied in the internal-memory setting. Here, we extend some of these recent results to external-memory solutions, which are also cache-oblivious. Our fir

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https://doi.org/10.1007/978-3-031-29290-3form. In this paper we analyze these techniques from the point of view of how effective they are in the task of compressing low-entropy strings, that is, strings which have many regularities and are therefore highly compressible. This is a non-trivial task since many compressors have non-constant ov

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Cascading Failure Interaction Analysis we define a new index for full-text searching on ., based on the Lempel-Ziv compression algorithm and requiring 8. + .(.log.) bits of space, where . denotes the .-th order empirical entropy of ., for any . = .(log.). Our experimental results show that our index is significantly smaller than any oth

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