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String Processing and Information Retrieval

Overview of attention for book
Cover of 'String Processing and Information Retrieval'

Table of Contents

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    Book Overview
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    Chapter 1 MP-Boost: A Multiple-Pivot Boosting Algorithm and Its Application to Text Categorization
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    Chapter 2 TreeBoost.MH: A Boosting Algorithm for Multi-label Hierarchical Text Categorization
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    Chapter 3 Cluster Generation and Cluster Labelling for Web Snippets: A Fast and Accurate Hierarchical Solution
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    Chapter 4 Principal Components for Automatic Term Hierarchy Building
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    Chapter 5 Computing the Minimum Approximate λ-Cover of a String
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    Chapter 6 Sparse Directed Acyclic Word Graphs
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    Chapter 7 On-Line Repetition Detection
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    Chapter 8 Analyzing User Behavior to Rank Desktop Items
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    Chapter 9 The Intention Behind Web Queries
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    Chapter 10 Compact Features for Detection of Near-Duplicates in Distributed Retrieval
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    Chapter 11 Inverted files versus suffix arrays for locating patterns in primary memory
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    Chapter 12 Efficient Lazy Algorithms for Minimal-Interval Semantics
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    Chapter 13 Output-Sensitive Autocompletion Search
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    Chapter 14 A Compressed Self-index Using a Ziv-Lempel Dictionary
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    Chapter 15 Mapping Words into Codewords on PPM
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    Chapter 16 Improving Usability Through Password-Corrective Hashing
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    Chapter 17 Word-Based Correction for Retrieval of Arabic OCR Degraded Documents
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    Chapter 18 A Statistical Model of Query Log Generation
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    Chapter 19 Using String Comparison in Context for Improved Relevance Feedback in Different Text Media
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    Chapter 20 A Multiple Criteria Approach for Information Retrieval
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    Chapter 21 English to Persian Transliteration
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    Chapter 22 Efficient Algorithms for Pattern Matching with General Gaps and Character Classes
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    Chapter 23 Matrix Tightness: A Linear-Algebraic Framework for Sorting by Transpositions
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    Chapter 24 How to Compare Arc-Annotated Sequences: The Alignment Hierarchy
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    Chapter 25 Structured Index Organizations for High-Throughput Text Querying
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    Chapter 26 String Processing and Information Retrieval
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    Chapter 27 Dotted Suffix Trees A Structure for Approximate Text Indexing
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    Chapter 28 Phrase-Based Pattern Matching in Compressed Text
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    Chapter 29 Discovering Context-Topic Rules in Search Engine Logs
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    Chapter 30 Incremental Aggregation of Latent Semantics Using a Graph-Based Energy Model
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    Chapter 31 A New Algorithm for Fast All-Against-All Substring Matching
Overall attention for this book and its chapters
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Title
String Processing and Information Retrieval
Published by
Springer Berlin Heidelberg, January 2006
DOI 10.1007/11880561
ISBNs
978-3-54-045774-9, 978-3-54-045775-6
Authors

Crestani, Fabio, Ferragina, Paolo, Sanderson, Mark

Editors

Fabio Crestani, Paolo Ferragina, Mark Sanderson

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 1 7%
Unknown 13 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 21%
Professor 1 7%
Unknown 10 71%
Readers by discipline Count As %
Computer Science 2 14%
Engineering 1 7%
Unknown 11 79%

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