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Time Warps, String Edits, and Macromolecules: The Theory and Practice of Sequence Comparision (David Hume Series)

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Time Warps, String Edits, and Macromolecules: The Theory and Practice of Sequence Comparision (David Hume Series) Cover

 

Synopses & Reviews

Publisher Comments:

The book is the first, and still best compilation of papers explaining how to measure distance between sequences, and how to compute that measure effectively.

Synopsis:

Time Warps, String Edits and Macromolecules is a young classic in computational science. The computational perspective is that of sequence processing, in particular the problem of recognizing related sequences. The book is the first, and still best compilation of papers explaining how to measure distance between sequences, and how to compute that measure effectively. This is called string distance, Levenshtein distance, or edit distance. The book contains lucid explanations of the basic techniques; well-annotated examples of applications; mathematical analysis of its computational (algorithmic) complexity; and extensive discussion of the variants needed for weighted measures, timed sequences (songs), applications to continuous data, comparison of multiple sequences and extensions to tree-structures. This theory finds applications in molecular biology, speech recognition, analysis of bird song and error correcting in computer software.

Synopsis:

The book is the first, and still best compilation of papers explaining how to measure distance between sequences, and how to compute that measure effectively.

Product Details

ISBN:
9781575862170
Editor:
Sankoff, David
Editor:
Kruskal, Joseph P.
Editor:
Sankoff, David
Editor:
Kruskal, Joseph P.
Author:
Kruskal, Joseph
Author:
Sankoff, David
Publisher:
Center for the Study of Language and Informat
Location:
Stanford, Calif. :
Subject:
General
Subject:
Molecular biology
Subject:
Pattern perception
Subject:
Mathematical Physics
Subject:
Infinity
Subject:
Macromolecules
Subject:
Computational complexity
Subject:
Speech processing systems
Subject:
Sequences.
Subject:
Physics-Math
Copyright:
Edition Description:
1
Series:
Center for the Study of Language and Information - Lecture Notes
Series Volume:
Jan. 1999
Publication Date:
20011031
Binding:
TRADE PAPER
Grade Level:
Professional and scholarly
Language:
English
Illustrations:
Yes
Pages:
408
Dimensions:
9 x 6 in

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History and Social Science » Linguistics » Specific Languages and Groups
Reference » Words Phrases and Language
Science and Mathematics » Chemistry » General
Science and Mathematics » Mathematics » General
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics
Science and Mathematics » Physics » Math

Time Warps, String Edits, and Macromolecules: The Theory and Practice of Sequence Comparision (David Hume Series) Used Trade Paper
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$17.50 In Stock
Product details 408 pages University of Chicago Press - English 9781575862170 Reviews:
"Synopsis" by , Time Warps, String Edits and Macromolecules is a young classic in computational science. The computational perspective is that of sequence processing, in particular the problem of recognizing related sequences. The book is the first, and still best compilation of papers explaining how to measure distance between sequences, and how to compute that measure effectively. This is called string distance, Levenshtein distance, or edit distance. The book contains lucid explanations of the basic techniques; well-annotated examples of applications; mathematical analysis of its computational (algorithmic) complexity; and extensive discussion of the variants needed for weighted measures, timed sequences (songs), applications to continuous data, comparison of multiple sequences and extensions to tree-structures. This theory finds applications in molecular biology, speech recognition, analysis of bird song and error correcting in computer software.
"Synopsis" by , The book is the first, and still best compilation of papers explaining how to measure distance between sequences, and how to compute that measure effectively.
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