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New Trends in Computational Collective Intelligence

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Cover of 'New Trends in Computational Collective Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 An Analysis of Influence of Consistency Degree on Quality of Collective Knowledge Using Binary Vector Structure
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    Chapter 2 Evaluation of Domain Adaptation Approaches to Improve the Translation Quality
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    Chapter 3 Intelligent Problem Solving about Functional Component of COKB Model and Application
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    Chapter 4 Reducing Model of COKB about Operators Knowledge and Solving Problems about Operators
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    Chapter 5 Context Identification of Scientific Papers via Agent-Based Model for Text Mining (ABM-TM)
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    Chapter 6 A Method for Response Integration in Federated Data Warehouses
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    Chapter 7 An Asymmetric Weighting Schema for Collaborative Filtering
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    Chapter 8 Churn Prediction in Telecommunication Industry Using Rough Set Approach
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    Chapter 9 Analysis of Weather Information System in Statistical and Rough Set Point of View
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    Chapter 10 Exclusive Channel Allocation Methods Based on Four-Color Theorem in Clustering Sensor Networks
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    Chapter 11 3D Human Face Recognition Using Sift Descriptors of Face’s Feature Regions
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    Chapter 12 The Bootstrap Approach to the Comparison of Two Methods Applied to the Evaluation of the Growth Index in the Analysis of the Digital X-ray Image of a Bone Regenerate
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    Chapter 13 Storytelling of Collaborative Learning System on Augmented Reality
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    Chapter 14 Contemporary Architecture Theory and Game Storytelling
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    Chapter 15 Calibration of Rotating 2D Laser Range Finder Using Circular Path on Plane Constraints
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    Chapter 16 A Case Study of Database and Information System on Mobile Application for Tourism
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    Chapter 17 A Novel and Simple Management System of Interactive System Using Google Street View
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    Chapter 18 Simple Gamer Interaction Analysis through Tower Defence Games
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    Chapter 19 Markov Logic Network Based Social Relation Inference for Personalized Social Search
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    Chapter 20 Computational Intelligence for Personalized Travel Scheduling System
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Citations

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Title
New Trends in Computational Collective Intelligence
Published by
Springer International Publishing, September 2014
DOI 10.1007/978-3-319-10774-5
ISBNs
978-3-31-910773-8, 978-3-31-910774-5
Editors

Camacho, David, Kim, Sang-Wook, Trawiński, Bogdan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Ireland 1 3%
Unknown 30 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 38%
Student > Ph. D. Student 6 19%
Researcher 4 13%
Student > Bachelor 3 9%
Student > Doctoral Student 2 6%
Other 4 13%
Unknown 1 3%
Readers by discipline Count As %
Computer Science 17 53%
Engineering 5 16%
Arts and Humanities 2 6%
Economics, Econometrics and Finance 2 6%
Nursing and Health Professions 1 3%
Other 2 6%
Unknown 3 9%