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Knowledge Management and Acquisition for Intelligent Systems

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Cover of 'Knowledge Management and Acquisition for Intelligent Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Constraints Dependent T-Way Test Suite Generation Using Harmony Search Strategy
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    Chapter 2 Evaluating Disaster Management Knowledge Model by Using a Frequency-Based Selection Technique
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    Chapter 3 Knowledge Management and Acquisition for Intelligent Systems
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    Chapter 4 Knowledge Management and Acquisition for Intelligent Systems
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    Chapter 5 User-Centric Recommendation-Based Approximate Information Retrieval from Marine Sensor Data
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    Chapter 6 Knowledge Management and Acquisition for Intelligent Systems
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    Chapter 7 Data Envelopment Analysis for Evaluating Knowledge Acquisition and Creation
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    Chapter 8 A High-Order Hidden Markov Model for Emotion Detection from Textual Data
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    Chapter 9 A Lazy Man’s Way to Part-of-Speech Tagging
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    Chapter 10 Knowledge Management and Acquisition for Intelligent Systems
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    Chapter 11 Extraction of How-to Type Question-Answering Sentences Using Query Sets
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    Chapter 12 Image Indexing and Retrieval with Pachinko Allocation Model: Application on Local and Global Features
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    Chapter 13 Knowledge Management and Acquisition for Intelligent Systems
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    Chapter 14 Knowledge Management and Acquisition for Intelligent Systems
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    Chapter 15 Ripple-Down Rules with Censored Production Rules
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    Chapter 16 RM and RDM, a Preliminary Evaluation of Two Prudent RDR Techniques
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    Chapter 17 Planning Children’s Stories Using Agent Models
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    Chapter 18 Knowledge Management and Acquisition for Intelligent Systems
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    Chapter 19 Emergence of Personal Knowledge Management Processes within Multi-agent Roles
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    Chapter 20 Knowledge Management and Acquisition for Intelligent Systems
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    Chapter 21 Commonsense Knowledge Acquisition through Children’s Stories
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    Chapter 22 Externalizing Senses of Worth in Medical Service Based on Ontological Engineering
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    Chapter 23 Knowledge Management and Acquisition for Intelligent Systems
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    Chapter 24 Social Issue Gives You an Opportunity: Discovering the Personalised Relevance of Social Issues
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    Chapter 25 Identifying Important Factors for Future Contribution of Wikipedia Editors
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    Chapter 26 Network Analysis of Three Twitter Functions: Favorite, Follow and Mention
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    Chapter 27 User-Oriented Product Search Based on Consumer Values and Lifestyles
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    Chapter 28 Extracting Communities in Networks Based on Functional Properties of Nodes
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    Chapter 29 Revealing and Trending the Social Knowledge Studies
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    Chapter 30 Knowledge Management and Acquisition for Intelligent Systems
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    Chapter 31 Identifying Characteristics of Seaports for Environmental Benchmarks Based on Meta-learning
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    Chapter 32 A Situated Experiential Learning System Based on a Real-Time 3D Virtual Studio
Attention for Chapter 12: Image Indexing and Retrieval with Pachinko Allocation Model: Application on Local and Global Features
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Chapter title
Image Indexing and Retrieval with Pachinko Allocation Model: Application on Local and Global Features
Chapter number 12
Book title
Knowledge Management and Acquisition for Intelligent Systems
Published by
Springer, Berlin, Heidelberg, September 2012
DOI 10.1007/978-3-642-32541-0_12
Book ISBNs
978-3-64-232540-3, 978-3-64-232541-0
Authors

Ahmed Boulemden, Yamina Tlili

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Computer Science 1 100%