Flexible pattern matching in strings practical on-line search algorithms for texts and biological sequences Gonzalo Navarro, Mathieu Raffinot.

Navarro, Gonzalo:

ISBN 10: 0521813077 / ISBN 13: 9780521813075

Edité par Cambridge, Cambridge University Press, 2002

A propos de cet article

Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 92 NAV 9780521813075 Sprache: Englisch Gewicht in Gramm: 550.

N° de réf. du vendeur 2499872

Détails bibliographiques

• Titre: Flexible pattern matching in strings practical on-line search algorithms for texts and biological sequences Gonzalo Navarro, Mathieu Raffinot.
• Éditeur: Cambridge, Cambridge University Press
• Date de parution: 2002
• Langue: anglais
• ISBN à 10 chiffres: 0521813077
• ISBN à 13 chiffres: 9780521813075
• Reliure: Hardcover
• Catalogues du vendeur:
  • SA MATHEMATIK

A propos de ce titre

Synopsis

Presents recently developed algorithms for searching for simple, multiple and extended strings, regular expressions, exact and approximate matches.

Présentation de l'éditeur

String matching problems range from the relatively simple task of searching a single text for a string of characters to searching a database for approximate occurrences of a complex pattern. Recent years have witnessed a dramatic increase of interest in sophisticated string matching problems, especially in information retrieval and computational biology. This book presents a practical approach to string matching problems, focusing on the algorithms and implementations that perform best in practice. It covers searching for simple, multiple and extended strings, as well as regular expressions, and exact and approximate searching. It includes all the most significant new developments in complex pattern searching. The clear explanations, step-by-step examples, algorithm pseudocode, and implementation efficiency maps will enable researchers, professionals and students in bioinformatics, computer science, and software engineering to choose the most appropriate algorithms for their applications.