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Computational Collective Intelligence. Technologies and Applications : 4th International Conference, ICCCI 2012, Ho Chi Minh City, Vietnam, November 28-30, 2012, Proceedings, Part I

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Cover of 'Computational Collective Intelligence. Technologies and Applications : 4th International Conference, ICCCI 2012, Ho Chi Minh City, Vietnam, November 28-30, 2012, Proceedings, Part I'

Table of Contents

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    Book Overview
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    Chapter 1 Comparison of One-Level and Two-Level Consensuses Satisfying the 2-Optimality Criterion
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    Chapter 2 A Heuristic Method for Collaborative Recommendation Using Hierarchical User Profiles
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    Chapter 3 Solving Conflict on Collaborative Knowledge via Social Networking Using Consensus Choice
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    Chapter 4 Integrating Multiple Experts for Correction Process in Interactive Recommendation Systems
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    Chapter 5 Modeling Collaborative Knowledge of Publishing Activities for Research Recommendation
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    Chapter 6 A New Approach for Problem of Sequential Pattern Mining
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    Chapter 7 Robust Human Detection Using Multiple Scale of Cell Based Histogram of Oriented Gradients and AdaBoost Learning
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    Chapter 8 Discovering Time Series Motifs Based on Multidimensional Index and Early Abandoning
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    Chapter 9 A Hybrid Approach of Pattern Extraction and Semi-supervised Learning for Vietnamese Named Entity Recognition
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    Chapter 10 Information Extraction from Geographical Overview Maps
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    Chapter 11 Pixel-Based Object Detection and Tracking with Ensemble of Support Vector Machines and Extended Structural Tensor
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    Chapter 12 A Tree-Based Approach for Mining Frequent Weighted Utility Itemsets
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    Chapter 13 A Novel Trajectory Privacy-Preserving Future Time Index Structure in Moving Object Databases
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    Chapter 14 Summarizing Knowledge Base with Modal Conditionals
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    Chapter 15 Modeling PVT Properties of Crude Oil Systems Based on Type-2 Fuzzy Logic Approach and Sensitivity Based Linear Learning Method
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    Chapter 16 On Structuring of the Space of Needs in the Framework of Fuzzy Sets Theory
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    Chapter 17 Comparison of Fuzzy Combiner Training Methods
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    Chapter 18 Computational Collective Intelligence. Technologies and Applications
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    Chapter 19 From Fuzzy Cognitive Maps to Granular Cognitive Maps
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    Chapter 20 Bayesian Vote Weighting in Crowdsourcing Systems
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    Chapter 21 Recognition Task with Feature Selection and Weighted Majority Voting Based on Interval-Valued Fuzzy Sets
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    Chapter 22 On Quadrotor Navigation Using Fuzzy Logic Regulators
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    Chapter 23 An Analysis of Change Trends by Predicting from a Data Stream Using Genetic Fuzzy Systems
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    Chapter 24 On C-Learnability in Description Logics
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    Chapter 25 Query-Subquery Nets
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    Chapter 26 An Approach to Extraction of Linguistic Recommendation Rules – Application of Modal Conditionals Grounding
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    Chapter 27 Paraconsistent Artificial Neural Networks and AD Analysis – Improvements
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    Chapter 28 Classification of Tuberculosis Digital Images Using Hybrid Evolutionary Extreme Learning Machines
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    Chapter 29 Comparison of Nature Inspired Algorithms Applied in Student Courses Recommendation
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    Chapter 30 Ten Years of Weakly Universal Cellular Automata in the Hyperbolic Plane
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    Chapter 31 Optimizing Communication Costs in ACODA Using Simulated Annealing: Initial Experiments
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    Chapter 32 Robust Plagiary Detection Using Semantic Compression Augmented SHAPD
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    Chapter 33 Words Context Analysis for Improvement of Information Retrieval
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    Chapter 34 Mediating Accesses to Multiple Information Sources in a Multi-lingual Application
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    Chapter 35 Classification of Speech Signals through Ant Based Clustering of Time Series
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    Chapter 36 A Neuronal Approach to the Statistical Image Reconstruction from Projections Problem
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    Chapter 37 Ripple Down Rules for Vietnamese Named Entity Recognition
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    Chapter 38 Induction of Dependency Structures Based on Weighted Projection
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    Chapter 39 Smart Access to Big Data Storage – Android Multi-language Offline Dictionary Application
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    Chapter 40 STARS: Ad-Hoc Peer-to-Peer Online Social Network
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    Chapter 41 Social Filtering Using Social Relationship for Movie Recommendation
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    Chapter 42 An Intelligent RDF Management System with Hybrid Querying Approach
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    Chapter 43 Cross-Organisational Decision Support: An Agent-Enabled Approach
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    Chapter 44 The Semantics of Norms Mining in Multi-agent Systems
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    Chapter 45 MAScloud: A Framework Based on Multi-Agent Systems for Optimizing Cost in Cloud Computing
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    Chapter 46 A Computational Trust Model with Trustworthiness against Liars in Multiagent Systems
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    Chapter 47 Color Image Segmentation Based on the Block Homogeneity
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    Chapter 48 Finite Automata with Imperfect Information as Classification Tools
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    Chapter 49 Adaptive Splitting and Selection Algorithm for Classification of Breast Cytology Images
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    Chapter 50 An Approach to Determine the Number of Clusters for Clustering Algorithms
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    Chapter 51 Fuzzy Classification Method in Credit Risk
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    Chapter 52 Preventing Attacks by Classifying User Models in a Collaborative Scenario
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    Chapter 53 Hierarchical Clustering through Bayesian Inference
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    Chapter 54 An Approach to Improving Quality of Crawlers Using Naïve Bayes for Classifier and Hyperlink Filter
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    Chapter 55 Network Intrusion Detection Based on Multi-Class Support Vector Machine
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    Chapter 56 Solving Nurse Rostering Problems by a Multiobjective Programming Approach
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    Chapter 57 Conditional Parameter Identification with Asymmetrical Losses of Estimation Errors
Attention for Chapter 44: The Semantics of Norms Mining in Multi-agent Systems
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Chapter title
The Semantics of Norms Mining in Multi-agent Systems
Chapter number 44
Book title
Computational Collective Intelligence. Technologies and Applications
Published by
Springer, Berlin, Heidelberg, November 2012
DOI 10.1007/978-3-642-34630-9_44
Book ISBNs
978-3-64-234629-3, 978-3-64-234630-9
Authors

Moamin A. Mahmoud, Mohd Sharifuddin Ahmad, Azhana Ahmad, Mohd Zaliman Mohd Yusoff, Aida Mustapha, Mahmoud, Moamin A., Ahmad, Mohd Sharifuddin, Ahmad, Azhana, Yusoff, Mohd Zaliman Mohd, Mustapha, Aida

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 50%
Unknown 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Unknown 1 50%

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