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Intelligent data engineering and automated learning -- IDEAL 2005 : 6th international conference, Brisbane, Australia, July 6-8, 2005 : proceedings / Marcus Gallagher, James Hogan, Frederic Maire (eds.).

By: (6th : IDEAL (Conference) (6th : 2005 : Brisbane, Qld.)Contributor(s): Gallagher, Marcus | Hogan, James | Maire, Frederic, DrMaterial type: TextTextSeries: Serienbezeichnung | Lecture notes in computer science ; 3578.Publication details: Berlin ; New York : Springer, 2005. Description: 1 online resource (xvi, 599 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9783540316930; 3540316930; 354026972X; 9783540269724Other title: IDEAL 2005Subject(s): Database management -- Congresses | Data mining -- Congresses | Intelligent agents (Computer software) -- Congresses | Agents intelligents (Logiciels) -- Congrès | Bases de données -- Gestion -- Congrès | Exploration de données (Informatique) -- Congrès | COMPUTERS -- Enterprise Applications -- Business Intelligence Tools | COMPUTERS -- Intelligence (AI) & Semantics | Informatique | Data mining | Database management | Intelligent agents (Computer software) | Agent intelligent | Apprentissage automatique | Bio-informatique | Exploration de données | Génie cognitif | Gestion des bases de données | algoritmen | algorithms | computeranalyse | computer analysis | computers | samenleving | society | informatieontsluiting | information retrieval | informatieopslag | information storage | informatiesystemen | information systems | internet | computerwetenschappen | computer sciences | kunstmatige intelligentie | artificial intelligence | databasebeheer | database management | Information and Communication Technology (General) | Informatie- en communicatietechnologie (algemeen)Genre/Form: Electronic books. | Conference papers and proceedings. Additional physical formats: Print version:: Intelligent data engineering and automated learning -- IDEAL 2005.DDC classification: 005.7565 LOC classification: QA76.9.D3 | I55864 2005ebOnline resources: Click here to access online
Contents:
Data Mining and Knowledge Engineering -- EXiT-B: A New Approach for Extracting Maximal Frequent Subtrees from XML Data -- Synthetic Environment Representational Semantics Using the Web Ontology Language -- New Rules for Hybrid Spatial Reasoning -- Using Pre-aggregation for Efficient Spatial Query Processing in Sensor Environments -- Model Trees for Classification of Hybrid Data Types -- Finding Uninformative Features in Binary Data -- Knowledge Reduction of Rough Set Based on Partition -- Multiresolution Analysis of Connectivity -- Kernel Biased Discriminant Analysis Using Histogram Intersection Kernel for Content-Based Image Retrieval -- Unsupervised Image Segmentation Using Penalized Fuzzy Clustering Algorithm -- Multi-attributes Image Analysis for the Classification of Web Documents Using Unsupervised Technique -- Automatic Image Annotation Based on Topic-Based Smoothing -- A Focused Crawler with Document Segmentation -- An Intelligent Grading System Using Heterogeneous Linguistic Resources -- Probabilistic Data Generation for Deduplication and Data Linkage -- Mining Job Logs Using Incremental Attribute-Oriented Approach -- Dimensional Reduction of Large Image Datasets Using Non-linear Principal Components -- Classification by Instance-Based Learning Algorithm -- Analysis/Synthesis of Speech Signals Based on AbS/OLA Sinusoidal Modeling Using Elliptic Filter -- Robust Model Adaptation Using Mean and Variance Transformations in Linear Spectral Domain -- Using Support Vector Machine for Modeling of Pulsed GTAW Process -- Design of Simple Structure Neural Voltage Regulator for Power Systems -- EEG Source Localization for Two Dipoles in the Brain Using a Combined Method -- Intelligent Control of Micro Heat Exchanger with Locally Linear Identifier and Emotional Based Controller -- Identification of Anomalous SNMP Situations Using a Cooperative Connectionist Exploratory Projection Pursuit Model -- Learning Algorithms and Systems -- Neural Networks: A Replacement for Gaussian Processes? -- A Dynamic Merge-or-Split Learning Algorithm on Gaussian Mixture for Automated Model Selection -- Bayesian Radial Basis Function Neural Network -- An Empirical Study of Hoeffding Racing for Model Selection in k-Nearest Neighbor Classification -- Designing an Optimal Network Using the Cross-Entropy Method -- Generating Predicate Rules from Neural Networks -- Improving Ensembles with Classificational Cellular Automata -- A Gradient BYY Harmony Learning Algorithm on Mixture of Experts for Curve Detection -- A Novel Anomaly Detection Using Small Training Sets -- Induction of Linear Decision Trees with Real-Coded Genetic Algorithms and k-D Trees -- Intelligent Predictive Control of a 6-Dof Robotic Manipulator with Reliability Based Performance Improvement -- Sequential Search for Decremental Edition -- Bearing Similarity Measures for Self-organizing Feature Maps -- Efficient Spatial Clustering Algorithm Using Binary Tree -- Cluster Analysis of High-Dimensional Data: A Case Study -- Universal Clustering with Family of Power Loss Functions in Probabilistic Space -- Circular SOM for Temporal Characterisation of Modelled Gene Expressions -- Recursive Self-organizing Map as a Contractive Iterative Function System -- Differential Priors for Elastic Nets -- Graphics Hardware Implementation of the Parameter-Less Self-organising Map -- Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image -- SOM-Based Novelty Detection Using Novel Data -- Multi-level Document Classifications with Self-organising Maps -- Bioinformatics -- Predictive Vaccinology: Optimisation of Predictions Using Support Vector Machine Classifiers -- Evolving Neural Networks for the Classification of Malignancy Associated Changes -- Matching Peptide Sequences with Mass Spectra -- Extraction by Example: Induction of Structural Rules for the Analysis of Molecular Sequence Data from Heterogeneous Sources -- A Multi-population? 2 Test Approach to Informative Gene Selection -- Gene Selection of DNA Microarray Data Based on Regularization Networks -- Application of Mixture Models to Detect Differentially Expressed Genes -- A Comparative Study of Two Novel Predictor Set Scoring Methods -- Deriving Matrix of Peptide-MHC Interactions in Diabetic Mouse by Genetic Algorithm -- SVM Based Prediction of Bacterial Transcription Start Sites -- Exploiting Sequence Dependencies in the Prediction of Peroxisomal Proteins -- Protein Fold Recognition Using Neural Networks and Support Vector Machines -- Agents and Complex Systems -- Support Tool for Multi-agent Development -- A Hybrid Agent Architecture for Modeling Autonomous Agents in SAGE -- Toward Transitive Dependence in MAS -- An Architecture for Multi-agent Based Self-adaptive System in Mobile Environment -- Autonomous and Dependable Recovery Scheme in UPnP Network Settings -- A Transitive Dependence Based Social Reasoning Mechanism for Coalition Formation -- A Multi-agent Based Context Aware Self-healing System -- Combining Influence Maps and Cellular Automata for Reactive Game Agents -- Patterns in Complex Systems Modeling -- Global Optimization Using Evolutionary Algorithm Based on Level Set Evolution and Latin Square -- Co-evolutionary Rule-Chaining Genetic Programming -- A Dynamic Migration Model for Self-adaptive Genetic Algorithms -- Financial Engineering -- A Multicriteria Sorting Procedure for Financial Classification Problems: The Case of Business Failure Risk Assessment -- Volatility Modelling of Multivariate Financial Time Series by Using ICA-GARCH Models -- Volatility Transmission Between Stock and Bond Markets: Evidence from US and Australia -- A Machine Learning Approach to Intraday Trading on Foreign Exchange Markets.
Summary: "This volume in the Lecture Notes in Computer Science series contains accepted papers presented at IDEAL 2005, held in Brisbane, Australia, during July 6-8, 2005."
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Includes bibliographical references and index.

"This volume in the Lecture Notes in Computer Science series contains accepted papers presented at IDEAL 2005, held in Brisbane, Australia, during July 6-8, 2005."

Print version record.

Data Mining and Knowledge Engineering -- EXiT-B: A New Approach for Extracting Maximal Frequent Subtrees from XML Data -- Synthetic Environment Representational Semantics Using the Web Ontology Language -- New Rules for Hybrid Spatial Reasoning -- Using Pre-aggregation for Efficient Spatial Query Processing in Sensor Environments -- Model Trees for Classification of Hybrid Data Types -- Finding Uninformative Features in Binary Data -- Knowledge Reduction of Rough Set Based on Partition -- Multiresolution Analysis of Connectivity -- Kernel Biased Discriminant Analysis Using Histogram Intersection Kernel for Content-Based Image Retrieval -- Unsupervised Image Segmentation Using Penalized Fuzzy Clustering Algorithm -- Multi-attributes Image Analysis for the Classification of Web Documents Using Unsupervised Technique -- Automatic Image Annotation Based on Topic-Based Smoothing -- A Focused Crawler with Document Segmentation -- An Intelligent Grading System Using Heterogeneous Linguistic Resources -- Probabilistic Data Generation for Deduplication and Data Linkage -- Mining Job Logs Using Incremental Attribute-Oriented Approach -- Dimensional Reduction of Large Image Datasets Using Non-linear Principal Components -- Classification by Instance-Based Learning Algorithm -- Analysis/Synthesis of Speech Signals Based on AbS/OLA Sinusoidal Modeling Using Elliptic Filter -- Robust Model Adaptation Using Mean and Variance Transformations in Linear Spectral Domain -- Using Support Vector Machine for Modeling of Pulsed GTAW Process -- Design of Simple Structure Neural Voltage Regulator for Power Systems -- EEG Source Localization for Two Dipoles in the Brain Using a Combined Method -- Intelligent Control of Micro Heat Exchanger with Locally Linear Identifier and Emotional Based Controller -- Identification of Anomalous SNMP Situations Using a Cooperative Connectionist Exploratory Projection Pursuit Model -- Learning Algorithms and Systems -- Neural Networks: A Replacement for Gaussian Processes? -- A Dynamic Merge-or-Split Learning Algorithm on Gaussian Mixture for Automated Model Selection -- Bayesian Radial Basis Function Neural Network -- An Empirical Study of Hoeffding Racing for Model Selection in k-Nearest Neighbor Classification -- Designing an Optimal Network Using the Cross-Entropy Method -- Generating Predicate Rules from Neural Networks -- Improving Ensembles with Classificational Cellular Automata -- A Gradient BYY Harmony Learning Algorithm on Mixture of Experts for Curve Detection -- A Novel Anomaly Detection Using Small Training Sets -- Induction of Linear Decision Trees with Real-Coded Genetic Algorithms and k-D Trees -- Intelligent Predictive Control of a 6-Dof Robotic Manipulator with Reliability Based Performance Improvement -- Sequential Search for Decremental Edition -- Bearing Similarity Measures for Self-organizing Feature Maps -- Efficient Spatial Clustering Algorithm Using Binary Tree -- Cluster Analysis of High-Dimensional Data: A Case Study -- Universal Clustering with Family of Power Loss Functions in Probabilistic Space -- Circular SOM for Temporal Characterisation of Modelled Gene Expressions -- Recursive Self-organizing Map as a Contractive Iterative Function System -- Differential Priors for Elastic Nets -- Graphics Hardware Implementation of the Parameter-Less Self-organising Map -- Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image -- SOM-Based Novelty Detection Using Novel Data -- Multi-level Document Classifications with Self-organising Maps -- Bioinformatics -- Predictive Vaccinology: Optimisation of Predictions Using Support Vector Machine Classifiers -- Evolving Neural Networks for the Classification of Malignancy Associated Changes -- Matching Peptide Sequences with Mass Spectra -- Extraction by Example: Induction of Structural Rules for the Analysis of Molecular Sequence Data from Heterogeneous Sources -- A Multi-population? 2 Test Approach to Informative Gene Selection -- Gene Selection of DNA Microarray Data Based on Regularization Networks -- Application of Mixture Models to Detect Differentially Expressed Genes -- A Comparative Study of Two Novel Predictor Set Scoring Methods -- Deriving Matrix of Peptide-MHC Interactions in Diabetic Mouse by Genetic Algorithm -- SVM Based Prediction of Bacterial Transcription Start Sites -- Exploiting Sequence Dependencies in the Prediction of Peroxisomal Proteins -- Protein Fold Recognition Using Neural Networks and Support Vector Machines -- Agents and Complex Systems -- Support Tool for Multi-agent Development -- A Hybrid Agent Architecture for Modeling Autonomous Agents in SAGE -- Toward Transitive Dependence in MAS -- An Architecture for Multi-agent Based Self-adaptive System in Mobile Environment -- Autonomous and Dependable Recovery Scheme in UPnP Network Settings -- A Transitive Dependence Based Social Reasoning Mechanism for Coalition Formation -- A Multi-agent Based Context Aware Self-healing System -- Combining Influence Maps and Cellular Automata for Reactive Game Agents -- Patterns in Complex Systems Modeling -- Global Optimization Using Evolutionary Algorithm Based on Level Set Evolution and Latin Square -- Co-evolutionary Rule-Chaining Genetic Programming -- A Dynamic Migration Model for Self-adaptive Genetic Algorithms -- Financial Engineering -- A Multicriteria Sorting Procedure for Financial Classification Problems: The Case of Business Failure Risk Assessment -- Volatility Modelling of Multivariate Financial Time Series by Using ICA-GARCH Models -- Volatility Transmission Between Stock and Bond Markets: Evidence from US and Australia -- A Machine Learning Approach to Intraday Trading on Foreign Exchange Markets.

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