Analytic Pattern Matching

From DNA to Twitter

Nonfiction, Science & Nature, Mathematics, Computers, Programming, Science
Cover of the book Analytic Pattern Matching by Philippe Jacquet, Wojciech Szpankowski, Cambridge University Press
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Author: Philippe Jacquet, Wojciech Szpankowski ISBN: 9781316287392
Publisher: Cambridge University Press Publication: June 30, 2015
Imprint: Cambridge University Press Language: English
Author: Philippe Jacquet, Wojciech Szpankowski
ISBN: 9781316287392
Publisher: Cambridge University Press
Publication: June 30, 2015
Imprint: Cambridge University Press
Language: English

How do you distinguish a cat from a dog by their DNA? Did Shakespeare really write all of his plays? Pattern matching techniques can offer answers to these questions and to many others, from molecular biology, to telecommunications, to classifying Twitter content. This book for researchers and graduate students demonstrates the probabilistic approach to pattern matching, which predicts the performance of pattern matching algorithms with very high precision using analytic combinatorics and analytic information theory. Part I compiles known results of pattern matching problems via analytic methods. Part II focuses on applications to various data structures on words, such as digital trees, suffix trees, string complexity and string-based data compression. The authors use results and techniques from Part I and also introduce new methodology such as the Mellin transform and analytic depoissonization. More than 100 end-of-chapter problems help the reader to make the link between theory and practice.

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How do you distinguish a cat from a dog by their DNA? Did Shakespeare really write all of his plays? Pattern matching techniques can offer answers to these questions and to many others, from molecular biology, to telecommunications, to classifying Twitter content. This book for researchers and graduate students demonstrates the probabilistic approach to pattern matching, which predicts the performance of pattern matching algorithms with very high precision using analytic combinatorics and analytic information theory. Part I compiles known results of pattern matching problems via analytic methods. Part II focuses on applications to various data structures on words, such as digital trees, suffix trees, string complexity and string-based data compression. The authors use results and techniques from Part I and also introduce new methodology such as the Mellin transform and analytic depoissonization. More than 100 end-of-chapter problems help the reader to make the link between theory and practice.

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