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Multi-disciplinary Trends in Artificial Intelligence

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Cover of 'Multi-disciplinary Trends in Artificial Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 An Approach for Tuning the Parametric Water Flow Algorithm Based on ANN
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    Chapter 2 Mining Frequent Common Families in Trees
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    Chapter 3 A Structure Based Approach for Mathematical Expression Retrieval
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    Chapter 4 Toward Composite Object Classification Using a Probabilistic Inference Engine
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    Chapter 5 Relocation Action Planning in Electric Vehicle Sharing Systems
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    Chapter 6 A Guide to Portfolio-Based Planning
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    Chapter 7 Color and Texture Image Segmentation
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    Chapter 8 Evolutionary Multi-objective Optimization Based Proportional Integral Controller Design for Induction Motor Drive
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    Chapter 9 A Multi-agent Scheduling Model for Maximizing Agent Satisfaction
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    Chapter 10 Enhancing Pixel Oriented Visualization by Merging Circle View and Circle Segment Visualization Techniques
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    Chapter 11 Time Series Prediction Using Motif Information
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    Chapter 12 A New Approach for Measuring Semantic Similarity in Ontology and Its Application in Information Retrieval
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    Chapter 13 Local Stereo Matching by Joining Shiftable Window and Non-parametric Transform
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    Chapter 14 A Comprehensive Analysis and Study in Intrusion Detection System Using k-NN Algorithm
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    Chapter 15 AI-Based Support for Experimentation in an Environmental Biotechnological Process
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    Chapter 16 Stereo Matching by Fusion of Local Methods and Spatial Weighted Window
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    Chapter 17 Efficient Handling of 2D Image Queries Using VPC  +  -tree
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    Chapter 18 Novel Granular Framework for Attribute Reduction in Incomplete Decision Systems
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    Chapter 19 Agent-Based Control System for Sustainable Wastewater Treatment Process
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    Chapter 20 Tuning the Optimization Parameter Set for Code Size
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    Chapter 21 Mining Weighted Frequent Sub-graphs with Weight and Support Affinities
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    Chapter 22 Simple Spatial Clustering Algorithm Based on R-tree
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    Chapter 23 Minimal Generalization for Conjunctive Queries
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    Chapter 24 Interruptibility and Its Negative Impact on Graph Exploration Missions by a Team of Robots
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    Chapter 25 Monte-Carlo Search for Snakes and Coils
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    Chapter 26 Algorithms for Filtration of Unordered Sets of Regression Rules
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    Chapter 27 Evaluation of Jamendo Database as Training Set for Automatic Genre Recognition
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    Chapter 28 An Integrated Model for Financial Data Mining
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    Chapter 29 Correlation Based Feature Selection Using Quantum Bio Inspired Estimation of Distribution Algorithm
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Title
Multi-disciplinary Trends in Artificial Intelligence
Published by
Springer Berlin Heidelberg, January 2013
DOI 10.1007/978-3-642-35455-7
ISBNs
978-3-64-235454-0, 978-3-64-235455-7
Editors

Sombattheera, Chattrakul, Loi, Nguyen Kim, Wankar, Rajeev, Quan, Tho

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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 %
Lecturer > Senior Lecturer 1 100%
Student > Master 1 100%
Readers by discipline Count As %
Earth and Planetary Sciences 1 100%
Decision Sciences 1 100%