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String Processing and Information Retrieval

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Cover of 'String Processing and Information Retrieval'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Constructing Strings at the Nano Scale via Staged Self-assembly
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    Chapter 2 Discounted Cumulative Gain and User Decision Models
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    Chapter 3 Cross-Lingual Text Fragment Alignment Using Divergence from Randomness
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    Chapter 4 Enhancing Document Snippets Using Temporal Information
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    Chapter 5 Spaced Seeds Design Using Perfect Rulers
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    Chapter 6 Weighted Shortest Common Supersequence
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    Chapter 7 Approximate Regular Expression Matching with Multi-strings
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    Chapter 8 Persistency in Suffix Trees with Applications to String Interval Problems
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    Chapter 9 Approximate Point Set Pattern Matching with L p -Norm
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    Chapter 10 Detecting Health Events on the Social Web to Enable Epidemic Intelligence
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    Chapter 11 A Learned Approach for Ranking News in Real-Time Using the Blogosphere
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    Chapter 12 Attribute Retrieval from Relational Web Tables
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    Chapter 13 Query-Sets + + : A Scalable Approach for Modeling Web Sites
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    Chapter 14 Indexing with Gaps
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    Chapter 15 Fast Computation of a String Duplication History under No-Breakpoint-Reuse
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    Chapter 16 Near Real-Time Suffix Tree Construction via the Fringe Marked Ancestor Problem
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    Chapter 17 Approximations and Partial Solutions for the Consensus Sequence Problem
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    Chapter 18 Fixed Block Compression Boosting in FM-Indexes
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    Chapter 19 Space Efficient Wavelet Tree Construction
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    Chapter 20 Computing the Longest Common Prefix Array Based on the Burrows-Wheeler Transform
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    Chapter 21 A Succinct Index for Hypertext
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    Chapter 22 When Was It Written? Automatically Determining Publication Dates
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    Chapter 23 A New Approach for Verifying URL Uniqueness in Web Crawlers
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    Chapter 24 External Query Reformulation for Text-Based Image Retrieval
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    Chapter 25 A Knowledge-Based Semantic Kernel for Text Classification
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    Chapter 26 Compressed Text Indexing with Wildcards
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    Chapter 27 Fast q-gram Mining on SLP Compressed Strings
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    Chapter 28 Succinct Gapped Suffix Arrays
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    Chapter 29 Finding Frequent Elements in Compressed 2D Arrays and Strings
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    Chapter 30 On Suffix Extensions in Suffix Trees
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    Chapter 31 COCA Filters: Co-occurrence Aware Bloom Filters
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    Chapter 32 On-Line Construction of Position Heaps
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    Chapter 33 Computing All Subtree Repeats in Ordered Ranked Trees
  35. Altmetric Badge
    Chapter 34 Sparse Spatial Selection for Novelty-Based Search Result Diversification
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    Chapter 35 Candidate Document Retrieval for Web-Scale Text Reuse Detection
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    Chapter 36 A Multi-faceted Approach to Query Intent Classification
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    Chapter 37 Navigating the User Query Space
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    Chapter 38 Improved Compressed Indexes for Full-Text Document Retrieval
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    Chapter 39 ESP-Index: A Compressed Index Based on Edit-Sensitive Parsing
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    Chapter 40 Compressed Indexes for Aligned Pattern Matching
  42. Altmetric Badge
    Chapter 41 String Processing and Information Retrieval
Attention for Chapter 35: Candidate Document Retrieval for Web-Scale Text Reuse Detection
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Chapter title
Candidate Document Retrieval for Web-Scale Text Reuse Detection
Chapter number 35
Book title
String Processing and Information Retrieval
Published in
Lecture notes in computer science, January 2011
DOI 10.1007/978-3-642-24583-1_35
Book ISBNs
978-3-64-224582-4, 978-3-64-224583-1
Authors

Matthias Hagen, Benno Stein

Editors

Roberto Grossi, Fabrizio Sebastiani, Fabrizio Silvestri

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 9%
Germany 1 9%
Unknown 9 82%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 18%
Student > Postgraduate 2 18%
Student > Ph. D. Student 2 18%
Student > Doctoral Student 1 9%
Student > Bachelor 1 9%
Other 3 27%
Readers by discipline Count As %
Computer Science 10 91%
Biochemistry, Genetics and Molecular Biology 1 9%