Titlebook: Combinatorial Pattern Matching; 20th Annual Symposiu Gregory Kucherov,Esko Ukkonen Conference proceedings 2009 Springer-Verlag Berlin Heide

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书目名称Combinatorial Pattern Matching影响因子(影响力)




书目名称Combinatorial Pattern Matching影响因子(影响力)学科排名




书目名称Combinatorial Pattern Matching网络公开度




书目名称Combinatorial Pattern Matching网络公开度学科排名




书目名称Combinatorial Pattern Matching被引频次




书目名称Combinatorial Pattern Matching被引频次学科排名




书目名称Combinatorial Pattern Matching年度引用




书目名称Combinatorial Pattern Matching年度引用学科排名




书目名称Combinatorial Pattern Matching读者反馈




书目名称Combinatorial Pattern Matching读者反馈学科排名

MORPH

Quasi-distinct Parsing and Optimal Compression Methods,ar, the property of . is defined. This property is much weaker than . required in the original proof, yet we show that the theorem holds with this weaker property as well. This provides a better understanding of the optimality proof of Lempel-Ziv coding, together with a new tool for proving optimali

ADJ

Generalized Substring Compression,contain an additional context substring (or a collection of context substrings) and the answers are the substring in compressed format, where the context substring is used to make the compression more efficient..We focus our attention on . and present the first non-trivial . algorithm for this probl

minion

Text Indexing, Suffix Sorting, and Data Compression: Common Problems and Techniques,ffixes, showing the interplay among some of the algorithmic techniques that have been devised so far. In the following, given a text . = .[1,.] of . symbols, we denote by .. its suffix .. = .[.,.] for 1 ≤ . ≤ ...A text indexing data structure stores the suffixes .., .., ..., .. of . at preprocessing

Expertise

Ligament

Ligament

On the Value of Multiple Read/Write Streams for Data Compression,h multiple read/write streams than we can with only one. We first show how we can achieve universal compression using only one pass over one stream. We then show that one stream is not sufficient for us to achieve good grammar-based compression. Finally, we show that two streams are necessary and su

HIKE

拖网

LCS Approximation via Embedding into Local Non-repetitive Strings,inding the LCS has been going on for more than three decades. To date, all known algorithms may take quadratic time (shaved by logarithmic factors) to find large LCS. In this paper the problem of approximating LCS is studied, while focusing on the hard inputs for this problem, namely, approximating

Chronic

An Efficient Matching Algorithm for Encoded DNA Sequences and Binary Strings, of the .ndm algorithm and a simplified version of the .ommentz-Walter algorithm. We performed also experimental comparisons with the most efficient algorithms presented in the literature. Experimental results show that the newly presented algorithm outperforms existing solutions in most cases.