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Information Retrieval Technology

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Cover of 'Information Retrieval Technology'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Leveraging Deletion Neighborhoods and Trie for Efficient String Similarity Search and Join
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    Chapter 2 Content-Based Medical Image Retrieval System for Infections and Fluids in Chest Radiographs
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    Chapter 3 Topic-Focused Summarization of News Events Based on Biased Snippet Extraction and Selection
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    Chapter 4 Query Ambiguity Identification Based on User Behavior Information
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    Chapter 5 Revisiting the Evaluation of Diversified Search Evaluation Metrics with User Preferences
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    Chapter 6 Hybrid Crowd-Machine Methods as Alternatives to Pooling and Expert Judgments
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    Chapter 7 How Do Sponsored Search Results Affect User Behavior in Web Search?
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    Chapter 8 Is the First Query the Most Important: An Evaluation of Query Aggregation Schemes in Session Search
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    Chapter 9 A Comparative Evaluation of 2D And 3D Visual Exploration of Document Search Results
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    Chapter 10 Multi-resolution Shape-Based Image Retrieval Using Ridgelet Transform
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    Chapter 11 Characteristics Classification of Durian Varieties Images for Knowledge Representation by Using Conceptual Graph
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    Chapter 12 Integrating Semantic Term Relations into Information Retrieval Systems Based on Language Models
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    Chapter 13 Towards Risk-Aware Resource Selection
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    Chapter 14 Personalizing Web Search Results Based on Subspace Projection
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    Chapter 15 Aggregating Results from Multiple Related Queries to Improve Web Search over Sessions
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    Chapter 16 Modified Frequency-Based Term Weighting Scheme for Accurate Dark Web Content Classification
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    Chapter 17 Online Social Network Profile Linkage
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    Chapter 18 User Message Model: A New Approach to Scalable User Modeling on Microblog
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    Chapter 19 Enhanced FastPFOR for Inverted Index Compression
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    Chapter 20 Linguistically Enhanced Collocate Words Model
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    Chapter 21 Named Entity Extraction via Automatic Labeling and Tri-training: Comparison of Selection Methods
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    Chapter 22 Contrastive Max-Sum Opinion Summarization
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    Chapter 23 Extracting Interest Tags from Twitter User Biographies
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    Chapter 24 Named Entity Recognition in Crime Using Machine Learning Approach
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    Chapter 25 A New Combination Method Based on Adaptive Genetic Algorithm for Medical Image Retrieval
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    Chapter 26 Leveraging Wikipedia and Context Features for Clinical Event Extraction from Mixed-Language Discharge Summary
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    Chapter 27 Impact of Stemmer on Arabic Text Retrieval
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    Chapter 28 Distance Measures and Stemming Impact on ‎Arabic Document Clustering
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    Chapter 29 Emotional Links between Structure and Content in Online Communications
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    Chapter 30 Extraction of Semantic Features from Transaction Dialogues
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    Chapter 31 Extracting Corpus-Specific Strings by Using Suffix Arrays Enhanced with Longest Common Prefix
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    Chapter 32 Feasibility Study Concerning the Use of Reasoning Technique in Semantic Reasoners
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    Chapter 33 Nature Inspired Data Mining Algorithm for Document Clustering in Information Retrieval
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    Chapter 34 Enhancing Machine-Learning Methods for Sentiment Classification of Web Data
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    Chapter 35 Name Disambiguation by Collective Classification
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    Chapter 36 Hierarchical Dirichlet Process Topic Modeling for Large Number of Answer Types Classification in Open domain Question Answering
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    Chapter 37 A Comparative Study of Feature Selection and Machine Learning Algorithms for Arabic Sentiment Classification
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    Chapter 38 Undersampling Techniques to Re-balance Training Data for Large Scale Learning-to-Rank
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    Chapter 39 Nurturing Filled Pause Detection for Spontaneous Speech Retrieval
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    Chapter 40 Analysis of Japanese Wikipedia Category for Constructing Wikipedia Ontology and Semantic Similarity Measure
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    Chapter 41 Correlation-Based Feature Selection for Association Rule Mining in Semantic Annotation of Mammographic Medical Images
  43. Altmetric Badge
    Chapter 42 Content Quality of Clustered Latent Dirichlet Allocation Short Summaries
Attention for Chapter 32: Feasibility Study Concerning the Use of Reasoning Technique in Semantic Reasoners
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Chapter title
Feasibility Study Concerning the Use of Reasoning Technique in Semantic Reasoners
Chapter number 32
Book title
Information Retrieval Technology
Published by
Springer, Cham, December 2014
DOI 10.1007/978-3-319-12844-3_32
Book ISBNs
978-3-31-912843-6, 978-3-31-912844-3
Authors

Mary Ting, Rabiah Abdul Kadir, Tengku Mohd Tengku Sembok, Fatimah Ahmad, Azreen Azman

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Lecturer 1 13%
Lecturer > Senior Lecturer 1 13%
Professor 1 13%
Student > Master 1 13%
Other 0 0%
Unknown 2 25%
Readers by discipline Count As %
Computer Science 4 50%
Social Sciences 1 13%
Engineering 1 13%
Unknown 2 25%