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The Burrows-Wheeler Transform: : Data Compression, Suffix Arrays, and Pattern Matching by Donald Adjeroh; Timothy C Bell; Amar Mukherjee is a nonfiction available to read on EtoBox.

What is The Burrows-Wheeler Transform: : Data Compression, Suffix Arrays, and Pattern Matching about?

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 or researchers in the area, while providing a gentle introduction, making 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. Key Features Comprehensive resource for information related to different aspects of the Burrows-Wheeler Transform including: Gentle introduction to the BWT History of the development of the BWT Detailed theoretical analysis of algorithmic issues and performanc

Who reads The Burrows-Wheeler Transform: : Data Compression, Suffix Arrays, and Pattern Matching?

Author

Donald Adjeroh; Timothy C Bell; Amar Mukherjee

Publisher

Springer Science+Business Media, LLC

Published

2008

Language

EN

ISBN

9780387789095

Category

nonfiction

Subjects

Computer Science, Science, Management