Multi-disciplinary Trends in Artificial Intelligence

6th International Workshop, MIWAI 2012, Ho Chi Minh City, Vietnam, December 26-28, 2012. Proceedings

ISBN: 978-3-642-35454-0 (Print) 978-3-642-35455-7 (Online)

Table of contents (29 chapters)

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  1. Front Matter

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    Pages 1-12

    An Approach for Tuning the Parametric Water Flow Algorithm Based on ANN

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    Pages 13-22

    Mining Frequent Common Families in Trees

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    Pages 23-34

    A Structure Based Approach for Mathematical Expression Retrieval

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    Pages 35-46

    Toward Composite Object Classification Using a Probabilistic Inference Engine

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    Pages 47-56

    Relocation Action Planning in Electric Vehicle Sharing Systems

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    Pages 57-68

    A Guide to Portfolio-Based Planning

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    Pages 69-80

    Color and Texture Image Segmentation

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    Pages 81-89

    Evolutionary Multi-objective Optimization Based Proportional Integral Controller Design for Induction Motor Drive

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    Pages 90-100

    A Multi-agent Scheduling Model for Maximizing Agent Satisfaction

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    Pages 101-109

    Enhancing Pixel Oriented Visualization by Merging Circle View and Circle Segment Visualization Techniques

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    Pages 110-121

    Time Series Prediction Using Motif Information

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    Pages 122-132

    A New Approach for Measuring Semantic Similarity in Ontology and Its Application in Information Retrieval

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    Pages 133-142

    Local Stereo Matching by Joining Shiftable Window and Non-parametric Transform

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    Pages 143-154

    A Comprehensive Analysis and Study in Intrusion Detection System Using k-NN Algorithm

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    Pages 155-166

    AI-Based Support for Experimentation in an Environmental Biotechnological Process

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    Pages 167-175

    Stereo Matching by Fusion of Local Methods and Spatial Weighted Window

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    Pages 176-187

    Efficient Handling of 2D Image Queries Using VPC + -tree

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    Pages 188-201

    Novel Granular Framework for Attribute Reduction in Incomplete Decision Systems

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    Pages 202-213

    Agent-Based Control System for Sustainable Wastewater Treatment Process

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    Pages 214-223

    Tuning the Optimization Parameter Set for Code Size

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