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Titlebook: Combinatorial Pattern Matching; 13th Annual Symposiu Alberto Apostolico,Masayuki Takeda Conference proceedings 2002 Springer-Verlag Berlin

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书目名称Combinatorial Pattern Matching
副标题13th Annual Symposiu
编辑Alberto Apostolico,Masayuki Takeda
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Combinatorial Pattern Matching; 13th Annual Symposiu Alberto Apostolico,Masayuki Takeda Conference proceedings 2002 Springer-Verlag Berlin
描述The papers contained in this volume were presented at the 13th Annual S- posium on Combinatorial Pattern Matching, held July 3–5, 2002 at the Hotel Uminonakamichi, in Fukuoka, Japan. They were selected from 37 abstracts s- mitted in response to the call for papers. In addition, there were invited lectures by Shinichi Morishita (University of Tokyo) and Hiroki Arimura (Kyushu U- versity). Combinatorial Pattern Matching (CPM) addresses issues of searching and matching strings and more complicated patterns such as trees, regular expr- sions, graphs, point sets, and arrays, in various formats. The goal is to derive n- trivial combinatorial properties of such structures and to exploit these properties in order to achieve superior performance for the corresponding computational problems. On the other hand, an important goal is to analyze and pinpoint the properties and conditions under which searches cannot be performed e?ciently. Over the past decade a steady ?ow of high-quality research on this subject has changed a sparse set of isolated results into a full-?edged area of algorithmics. This area is continuing to grow even further due to the increasing demand for speed and e?ciency tha
出版日期Conference proceedings 2002
关键词Graph; Matching; computer; data compression; information; multimedia; pattern recognition; regular expressi
版次1
doihttps://doi.org/10.1007/3-540-45452-7
isbn_softcover978-3-540-43862-5
isbn_ebook978-3-540-45452-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2002
The information of publication is updating

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Efficient Text Mining with Optimized Pattern Discovery,ies on text mining, e.g., [.,.,.,.]..Our research goal is to devise an efficient semi-automatic tool that supports human discovery from large text databases. Therefore, we require a fast pattern discovery algorithm that can work in time, e.g., . to .(. log .), to respond in real time on an unstructu
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Edit Distance with Move Operations, “recursive” sequence of moves can be simulated with at most a constant factor increase by a non-recursive sequence, and present a polynomial time greedy algorithm for non-recursive moves with a worst-case log factor approximation to optimal. The development of this greedy algorithm shows how to red
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Conference proceedings 2002earches cannot be performed e?ciently. Over the past decade a steady ?ow of high-quality research on this subject has changed a sparse set of isolated results into a full-?edged area of algorithmics. This area is continuing to grow even further due to the increasing demand for speed and e?ciency tha
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https://doi.org/10.1007/978-981-15-5584-8 “recursive” sequence of moves can be simulated with at most a constant factor increase by a non-recursive sequence, and present a polynomial time greedy algorithm for non-recursive moves with a worst-case log factor approximation to optimal. The development of this greedy algorithm shows how to red
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