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    1. Data och IT
    2. Systemvetenskap och AI

    Trends in Applied Intelligent Systems

    23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Cordoba, Spain, June 1-4, 2010, Proceedings, Part II

    AvNicolás García-Pedrajas,Francisco Herrera

    Häftad, Engelska, 2010

    Del i serien Lecture Notes in Computer Science

    1 119 kr

    Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

    Beskrivning

    Theneedforintelligentsystemstechnologyinsolvingreal-lifeproblemshasbeen consistently growing. In order to address this need, researchers in the ?eld have been developing methodologies and tools to develop intelligent systems for so- ing complex problems. The International Society of Applied Intelligence (ISAI) through its annual IEA/AIE conferences provides a forum for international s- enti?c and industrial community in the ?eld of Applied Arti?cial Intelligence to interactively participate in developing intelligent systems, which are needed to solve twenty ?rst century's ever growing problems in almost every ?eld. The 23rdInternationalConference on Industrial, Engineering and Other - plications of Applied Intelligence Systems (IEA/AIE-2010) held in C' ordoba, Spain, followed IEA/AIE tradition of providing an international scienti?c forum for researchers in the ?eld of applied arti?cial intelligence. The presentations of theinvitedspeakersandauthorsmainlyfocusedondevelopingandstudyingnew methods to cope with the problems posed by real-life applications of arti?cial intelligence.Paperspresentedinthetwentythirdconferenceintheseriescovered theories as well as applications of intelligent systems in solving complex real-life problems.We received 297 papers for the main track, selecting 119 of them with the highest quality standards. Each paper was revised by at least three members of the Program Committee. The papers in the proceedings cover a wide number of topics including: applications to robotics, business and ?nancial markets, bio- formaticsandbiomedicine,applicationsofagent-basedsystems,computervision, control, simulation and modeling, data mining, decision support systems, evo- tionary computation and its applications, fuzzy systems and their applications, heuristic optimization methods and swarm intelligence, intelligent agent-based systems,internetapplications,knowledgemanagementandknowledgebaseds- tems, machine learning, neural network applications, optimization and heuristic search, and other real-life applications.

    Produktinformation

    • Utgivningsdatum:2010-05-20
    • Format:Häftad
    • Språk:Engelska
    • Serie:Lecture Notes in Computer Science
    • Antal sidor:680
    • Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
    • ISBN:9783642130243

    Utforska kategorier

    • Systemvetenskap och AI inom Data och IT
    • Artificiell intelligens inom Data och IT
    • Tillämpad datateknik inom Data och IT

    Innehållsförteckning

    • Engineering Knowledge and Semantic Systems.- Improving Effectiveness of Query Expansion Using Information Theoretic Approach.- Defining Coupling Metrics among Classes in an OWL Ontology.- Enterprise 2.0 and Semantic Technologies for Open Innovation Support.- Algorithmic Decision of Syllogisms.- Matching Multilingual Tags Based on Community of Lingual Practice from Multiple Folksonomy: A Preliminary Result.- Ensemble Learning: Methods and Applications.- Multiclass Mineral Recognition Using Similarity Features and Ensembles of Pair-Wise Classifiers.- Ensembles of Probability Estimation Trees for Customer Churn Prediction.- Evolving Ensembles of Feature Subsets towards Optimal Feature Selection for Unsupervised and Semi-supervised Clustering.- Building a New Classifier in an Ensemble Using Streaming Unlabeled Data.- Random Projections for SVM Ensembles.- Rotation Forest on Microarray Domain: PCA versus ICA.- An Empirical Study of Multilayer Perceptron Ensembles for Regression Tasks.- Ensemble Methods and Model Based Diagnosis Using Possible Conflicts and System Decomposition.- Evolutionary Computation and Applications.- Entropy-Based Evaluation Relaxation Strategy for Bayesian Optimization Algorithm.- A New Artificial Immune System for Solving the Maximum Satisfiability Problem.- Power-Aware Multi-objective Evolutionary Optimization for Application Mapping on NoC Platforms.- A Discrete Differential Evolution Algorithm for Solving the Weighted Ring Arc Loading Problem.- A Parallel Genetic Algorithm on a Multi-Processor System-on-Chip.- The Influence of Using Design Patterns on the Process of Implementing Genetic Algorithms.- Fuzzy Systems and Applications.- Obtaining Significant Relations in L-Fuzzy Contexts.- Knowledge Extraction Based on Fuzzy Unsupervised Decision Tree:Application to an Emergency Call Center.- Optimization of Embedded Fuzzy Rule-Based Systems in Wireless Sensor Network Nodes.- An Algorithm for Online Self-organization of Fuzzy Controllers.- A Mechanism of Output Constraint Handling for Analytical Fuzzy Controllers.- Analysis of the Performance of a Semantic Interpretability-Based Tuning and Rule Selection of Fuzzy Rule-Based Systems by Means of a Multi-Objective Evolutionary Algorithm.- Testing for Heteroskedasticity of the Residuals in Fuzzy Rule-Based Models.- Heuristic Methods and Swarm Intelligence for Optimization.- Heuristic Methods Applied to the Optimization School Bus Transportation Routes: A Real Case.- Particle Swarm Optimization in Exploratory Data Analysis.- Using the Bees Algorithm to Assign Terminals to Concentrators.- Multicriteria Assignment Problem (Selection of Access Points).- Composite Laminates Buckling Optimization through Lévy Based Ant Colony Optimization.- Teaching Assignment Problem Solver.- Swarm Control Designs Applied to a Micro-Electro-Mechanical Gyroscope System (MEMS).- Industrial Applications of Data Mining: New Paradigms for New Challenges.- A Representation to Apply Usual Data Mining Techniques to Chemical Reactions.- Incident Mining Using Structural Prototypes.- Viability of an Alarm Predictor for Coffee Rust Disease Using Interval Regression.- Prediction of Web Goodput Using Nonlinear Autoregressive Models.- Domain Driven Data Mining for Unavailability Estimation of Electrical Power Grids.- Intelligent Agent-Based Systems.- Social Order in Hippocratic Multi-Agent Systems.- Building an Electronic Market System.- Information Theory Based Intelligent Agents.- A Possibilistic Approach to Goal Generation in Cognitive Agents.- Modelling Greed of Agents in Economical Context.- Modelingand Verifying Agent-Based Communities of Web Services.- Interactive and Cognitive Environments.- An Ambient Intelligent Agent Model Based on Behavioural Monitoring and Cognitive Analysis.- The Combination of a Causal and Emotional Learning Mechanism for an Improved Cognitive Tutoring Agent.- Driver’s Behavior Assessment by On-board/Off-board Video Context Analysis.- An eHealth System for a Complete Home Assistance.- Tracking System Based on Accelerometry for Users with Restricted Physical Activity.- Internet Applications.- Web Query Reformulation Using Differential Evolution.- On How Ants Put Advertisements on the Web.- Mining Association Rules from Semantic Web Data.- Hierarchical Topic-Based Communities Construction for Authors in a Literature Database.- Generating an Event Arrangement for Understanding News Articles on the Web.- Architecture for Automated Search and Negotiation in Affiliation among Community Websites and Blogs.- Knowledge Management and Knowledge Based Systems.- Effect of Semantic Differences in WordNet-Based Similarity Measures.- An Ontological Representation of Documents and Queries for Information Retrieval Systems.- Predicting the Development of Juvenile Delinquency by Simulation.- Building and Analyzing Corpus to Investigate Appropriateness of Argumentative Discourse Structure for Facilitating Consensus.- Improving Identification Accuracy by Extending Acceptable Utterances in Spoken Dialogue System Using Barge-in Timing.- A New Approach to Construct Optimal Bow Tie Diagrams for Risk Analysis.- Machine Learning.- Feature Selection and Occupancy Classification Using Seismic Sensors.- Extending Metric Multidimensional Scaling with Bregman Divergences.- Independent Component Analysis Using Bregman Divergences.- Novel Method for Feature-SetRanking Applied to Physical Activity Recognition.- Time Space Tradeoffs in GA Based Feature Selection for Workload Characterization.- Learning Improved Feature Rankings through Decremental Input Pruning for Support Vector Based Drug Activity Prediction.- Scaling Up Feature Selection by Means of Democratization.