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 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: García-Pedrajas, Nicolás (Επιμελητής έκδοσης), Herrera, Francisco (Επιμελητής έκδοσης), Fyfe, Colin (Επιμελητής έκδοσης), Benítez, José Manuel (Επιμελητής έκδοσης), Ali, Moonis (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
• Σειρά: Lecture Notes in Computer Science, 6097
• Θέματα: Computer science.; Computer programming.; Computers.; Database management.; Information storage and retrieval.; Artificial intelligence.; Computer Science.; Artificial Intelligence (incl. Robotics).; Programming Techniques.; Information Systems Applications (incl. Internet).; Computation by Abstract Devices.; Information Storage and Retrieval.; Database Management.

 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 -- Modeling and 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-Set Ranking 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.