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

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书目名称Combinatorial Pattern Matching
副标题18th Annual Symposiu
编辑Bin Ma,Kaizhong Zhang
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Combinatorial Pattern Matching; 18th Annual Symposiu Bin Ma,Kaizhong Zhang Conference proceedings 2007 Springer-Verlag Berlin Heidelberg 20
描述The papers contained in this volume were presented at the 18th Annual S- posium on Combinatorial Pattern Matching (CPM 2007) held at the University of Western Ontario, in London, Ontario, Canada from July 9 to 11, 2007. All the papers presented at the conference are original research contri- tions on computational pattern matching and analysis, data compression and compressed text processing, su?x arrays and trees, and computational biology. They were selected from 64 submissions. Each submission was reviewed by at least three reviewers. The committee decided to accept 32 papers. The p- gramme also included three invited talks by Tao Jiang from the University of California, Riverside, USA, S. Muthukrishnan from Rutgers University, USA, and Frances Yao from City University of Hong Kong, Hong Kong. Combinatorial Pattern Matching addresses issues of searching and matching stringsandmorecomplicatedpatternssuchastrees,regularexpressions,graphs, point sets, and arrays.The goal is to derive non-trivial combinatorial properties of such structures and to exploit these properties in order to either achieve superior performance for the corresponding computational problems or pinpoint conditio
出版日期Conference proceedings 2007
关键词Alphabet; DOM; Pattern Matching; Variable; algorithms; approximation; bioinformatics; coding and data compr
版次1
doihttps://doi.org/10.1007/978-3-540-73437-6
isbn_softcover978-3-540-73436-9
isbn_ebook978-3-540-73437-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2007
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Distributed Load Sharing Under Cyber Attacksded by the entropy of the source asymptotically tends to 1..We experimentally corroborate our theoretical bounds. Furthermore, we compare BWT-based compressors to other compressors and show that for “realistic” Markov sources they indeed perform bad and often worse than other compressors. This is in
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A Combinatorial Approach to Genome-Wide Ortholog Assignment: Beyond Sequence Similarity Searchmization problems, minimum common partition and maximum cycle decomposition. Following this approach, we have implemented a high-throughput system for assigning orthologs on a genome scale, called MSOAR, and tested it on both simulated data and real genome sequence data. Our predicted orthologs betw
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Most Burrows-Wheeler Based Compressors Are Not Optimalded by the entropy of the source asymptotically tends to 1..We experimentally corroborate our theoretical bounds. Furthermore, we compare BWT-based compressors to other compressors and show that for “realistic” Markov sources they indeed perform bad and often worse than other compressors. This is in
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0302-9743 uch structures and to exploit these properties in order to either achieve superior performance for the corresponding computational problems or pinpoint conditio978-3-540-73436-9978-3-540-73437-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
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