Philippe Jacquet

Analytic Pattern Matching (eBook, ePUB)

From DNA to Twitter

• Format: ePub

Produktbeschreibung

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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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 30. Juni 2015
• Englisch
• ISBN-13: 9781316287392
• Artikelnr.: 52836663

Autorenporträt

Philippe Jacquet is a Research Director at INRIA, a major public research lab in computer science in France. He has been a major contributor to the Internet OLSR protocol for mobile networks. His research interests involve information theory, probability theory, quantum telecommunication, protocol design, performance evaluation and optimization, and the analysis of algorithms. Since 2012 he has been with Alcatel-Lucent Bell Labs as head of the department of Mathematics of Dynamic Networks and Information. Jacquet is a member of the prestigious French Corps des Mines, known for excellence in French industry, with the rank of 'Ingenieur General'. He is also a member of ACM and IEEE.

Inhaltsangabe

Preface
Acknowledgements
Part I. Analysis: 1. Probabilistic models
2. Exact string matching
3. Constrained exact string matching
4. Generalized string matching
5. Subsequence pattern matching
Part II. Applications: 6. Algorithms and data structures
7. Digital trees
8. Suffix trees and Lempel-Ziv'77
9. Lempel-Ziv'78 compression algorithm
10. String complexity
Bibliography
Index.