The Burrows-Wheeler Transform:: Data Compression, Suffix Arrays, and Pattern Matching [Hardcover]

Donald Adjeroh (Author), Timothy Bell (Author), Amar Mukherjee (Author)

Book Description

ISBN-10: 0387789081 | ISBN-13: 978-0387789088 | Publication Date: July 25, 2008 | Edition: 1

The Burrows-Wheeler Transform is a text transformation scheme that has found applications in different aspects of the data explosion problem, from data compression to index structures and search. The BWT belongs to a new class of compression algorithms, distinguished by its ability to perform compression by sorted contexts. More recently, the BWT has also found various applications in addition to text data compression, such as in lossless and lossy image compression, tree-source identification, bioinformatics, machine translation, shape matching, and test data compression.

This book will serve as a reference for seasoned professionals and researchers in the area, while providing a gentle introduction that makes it accessible for senior undergraduate students or first-year graduate students embarking upon research in compression, pattern matching, full text retrieval, compressed index structures, or other areas related to the BWT.

Editorial Reviews

Review

From the reviews:

"The focus of the book, the Burrows-Wheeler transform (BWT), is an algorithm … used in data compression and pattern matching. … A major strength of the book is the clear writing style and the easy-to-follow flow. … On one hand, a student or faculty will discover theoretical topics related to information theory and pattern recognition. On the other, computational scientists will be attracted to the many applications of the BWT transform. All in all, it is a worthwhile lecture." (Stefan Robila, ACM Computing Reviews, November, 2008)

“This book exposes the reader to many applications of the Burrows-Wheeler Transform … . This book invites the reader to explore a new topic. … I can recommend this text to a wide variety of readers. This book is well suited for a researcher … who seeks to understand the Burrows-Wheeler Transform and its many applications to existing framework of algorithms. … This would be a wonderful course textbook since its coverage is comprehensive … . Many computer scientists can gain from reading this book.” (Shoshana Neuburger, SIGACT News, Vol. 41 (1), 2010)

From the Back Cover

This book will serve as a reference for seasoned professionals or researchers in the area, while remaining accessible for senior undergraduate students or first year graduate students embarking upon research in compression, pattern matching, full text retrieval, compressed index structures, or other areas related to the BWT.

Key features include a comprehensive resource for information related to different aspects of the Burrows-Wheeler Transform, an exploration of non-traditional applications of the BWT in areas such as Bioinformatics, test data compression for systems-on-chip and multimedia information retrieval, and tutorial materials ideal for classroom use.

Advance Praise for The Burrows-Wheeler Transform:

"A thorough discussion of the Burrows-Wheeler Transform and its many connections to pattern-matching and data compression is long overdue. This fascinating, comprehensive monograph fills a gap: a ‘must-read’ for researchers in bioinformatics and computer science".

-- Professor Bill Smyth, McMaster University, Canada

"A much-needed book providing the first complete coverage of the principles and applications of a fascinating tool. The exposition is rigorous but still easy to follow. I heartily recommend this book to anyone interested in data compression or string algorithms".

-- Professor Giovanni Manzini, Università del Piemonte Orientale, Italy

Product Details

• Hardcover: 364 pages
• Publisher: Springer; 1 edition (July 25, 2008)
• Language: English
• ISBN-10: 0387789081
• ISBN-13: 978-0387789088
• Product Dimensions: 9.4 x 6.3 x 0.9 inches
• Shipping Weight: 1.5 pounds (View shipping rates and policies)
• Amazon Best Sellers Rank: #1,178,946 in Books (See Top 100 in Books)

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