The Resource Advances in intelligent data analysis VI : 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 810, 2005 : proceedings, A. Fazel Famili [and others] (eds.)
Advances in intelligent data analysis VI : 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 810, 2005 : proceedings, A. Fazel Famili [and others] (eds.)
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The item Advances in intelligent data analysis VI : 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 810, 2005 : proceedings, A. Fazel Famili [and others] (eds.) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 2 library branches.
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The item Advances in intelligent data analysis VI : 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 810, 2005 : proceedings, A. Fazel Famili [and others] (eds.) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 2 library branches.
 Summary
 One of the superb characteristics of Intelligent Data Analysis (IDA) is that it is an interdisciplinary?eld in which researchers and practitioners from a number of areas are involved in a typical project. This also creates a challenge in which the success of a team depends on the participation of users and domain experts who need to interact with researchers and developers of any IDA system. All this is usually re?ected in successful projects and of course on the papers that were evaluated by this year's program committee from which the?nal program has been developed. In our call for papers, we solicited papers on (i) applications and tools, (ii) theory and general principles, and (iii) algorithms and techniques. We received a total of 184 papers, reviewing these was a major challenge. Each paper was assigned to three reviewers. In the end 46 papers were accepted, which are all included in the proceedings and presented at the conference. This year's papers re?ect the results of applied and theoretical researchfrom a number of disciplines all of which are related to the?eld of Intelligent Data Analysis. To have the best combination of theoretical and applied research and also provide the best focus, we have divided this year's IDA program into tu rials, invited talks, panel discussions and technical sessions
 Language
 eng
 Extent
 1 online resource (xiv, 522 pages)
 Contents

 Probabilistic Latent Clustering of Device Usage
 Condensed Nearest Neighbor Data Domain Description
 Balancing Strategies and Class Overlapping
 Modeling Conditional Distributions of Continuous Variables in Bayesian Networks
 Kernel KMeans for Categorical Data
 Using Genetic Algorithms to Improve Accuracy of Economical Indexes Prediction
 A DistanceBased Method for Preference Information Retrieval in Paired Comparisons
 Knowledge Discovery in the Identification of Differentially Expressed Genes in Tumoricidal Macrophage
 Searching for Meaningful Feature Interactions with BackwardChaining Rule Induction
 Exploring Hierarchical Rule Systems in Parallel Coordinates
 Bayesian Networks Learning for Gene Expression Datasets
 Pulse: Mining Customer Opinions from Free Text
 Keystroke Analysis of Different Languages: A Case Study
 Combining Bayesian Networks with HigherOrder Data Representations
 Removing Statistical Biases in Unsupervised Sequence Learning
 Learning from Ambiguously Labeled Examples
 Learning Label Preferences: Ranking Error Versus Position Error
 FCLib: A Library for Building Data Analysis and Data Discovery Tools
 A KnowledgeBased Model for Analyzing GSM Network Performance
 Sentiment Classification Using Information Extraction Technique
 Extending the SOM Algorithm to Visualize Word Relationships
 Towards Automatic and Optimal Filtering Levels for Feature Selection in Text Categorization
 Block Clustering of Contingency Table and Mixture Model
 Adaptive Classifier Combination for Visual Information Processing Using Data ContextAwareness
 Selfpoised Ensemble Learning
 Discriminative Remote Homology Detection Using Maximal Unique Sequence Matches
 From Local Pattern Mining to Relevant Bicluster Characterization
 MachineLearning with Cellular Automata
 MDS polar : A New Approach for Dimension Reduction to Visualize High Dimensional Data
 Miner Ants Colony: A New Approach to Solve a Mine Planning Problem
 Extending the GAEDA Hybrid Algorithm to Study Diversification and Intensification in GAs and EDAs
 Spatial Approach to Pose Variations in Face Verification
 Analysis of Feature Rankings for Classification
 A Mixture ModelBased Online CEM Algorithm
 Reliable Hierarchical Clustering with the Selforganizing Map
 Statistical Recognition of Noun Phrases in Unrestricted Text
 Successive Restrictions Algorithm in Bayesian Networks
 Modelling the Relationship Between Streamflow and Electrical Conductivity in Hollin Creek, Southeastern Australia
 Biological Cluster Validity Indices Based on the Gene Ontology
 An Evaluation of Filter and Wrapper Methods for Feature Selection in Categorical Clustering
 Dealing with Data Corruption in Remote Sensing
 Regularized LeastSquares for Parse Ranking
 Bayesian Network Classifiers for TimeSeries Microarray Data
 Feature Discovery in Classification Problems
 A New Hybrid NM Method and Particle Swarm Algorithm for Multimodal Function Optimization
 Detecting Groups of Anomalously Similar Objects in Large Data Sets
 Isbn
 9783540287957
 Label
 Advances in intelligent data analysis VI : 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 810, 2005 : proceedings
 Title
 Advances in intelligent data analysis VI
 Title remainder
 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 810, 2005 : proceedings
 Statement of responsibility
 A. Fazel Famili [and others] (eds.)
 Title variation

 6th International Symposium on Intelligent Data Analysis
 Sixth International Symposium on Intelligent Data Analysis
 International Symposium on Intelligent Data Analysis
 IDA 2005
 Subject

 COMPUTERS  Expert Systems
 Conference papers and proceedings
 Conference papers and proceedings
 Datenanalyse
 Expert systems (Computer science)
 Expert systems (Computer science)
 Expert systems (Computer science)  Congresses
 Informatique
 Kongress
 Madrid (2005)
 Mathematical statistics
 Mathematical statistics
 Mathematical statistics  Congresses
 Mathematical statistics  Data processing
 Mathematical statistics  Data processing
 Mathematical statistics  Data processing  Congresses
 Statistique mathématique
 Statistique mathématique  Congrès
 Statistique mathématique  Informatique  Congrès
 Système expert
 Systèmes experts (Informatique)  Congrès
 Traitement des données
 Analyse statistique
 Language
 eng
 Summary
 One of the superb characteristics of Intelligent Data Analysis (IDA) is that it is an interdisciplinary?eld in which researchers and practitioners from a number of areas are involved in a typical project. This also creates a challenge in which the success of a team depends on the participation of users and domain experts who need to interact with researchers and developers of any IDA system. All this is usually re?ected in successful projects and of course on the papers that were evaluated by this year's program committee from which the?nal program has been developed. In our call for papers, we solicited papers on (i) applications and tools, (ii) theory and general principles, and (iii) algorithms and techniques. We received a total of 184 papers, reviewing these was a major challenge. Each paper was assigned to three reviewers. In the end 46 papers were accepted, which are all included in the proceedings and presented at the conference. This year's papers re?ect the results of applied and theoretical researchfrom a number of disciplines all of which are related to the?eld of Intelligent Data Analysis. To have the best combination of theoretical and applied research and also provide the best focus, we have divided this year's IDA program into tu rials, invited talks, panel discussions and technical sessions
 Cataloging source
 GW5XE
 Dewey number
 519.5
 Illustrations
 illustrations
 Index
 index present
 Language note
 English
 LC call number
 QA276.A1
 LC item number
 I28 2005eb
 Literary form
 non fiction
 http://bibfra.me/vocab/lite/meetingDate
 2005
 http://bibfra.me/vocab/lite/meetingName
 International Symposium on Intelligent Data Analysis
 Nature of contents

 dictionaries
 bibliography
 http://library.link/vocab/relatedWorkOrContributorName
 Famili, A. Fazel
 Series statement
 Lecture notes in computer science,
 Series volume
 3646
 http://library.link/vocab/subjectName

 Mathematical statistics
 Mathematical statistics
 Expert systems (Computer science)
 Statistique mathématique
 Statistique mathématique
 Systèmes experts (Informatique)
 COMPUTERS
 Informatique
 Expert systems (Computer science)
 Mathematical statistics
 Mathematical statistics
 Datenanalyse
 Système expert
 Analyse statistique
 Traitement des données
 Statistique mathématique
 Label
 Advances in intelligent data analysis VI : 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 810, 2005 : proceedings, A. Fazel Famili [and others] (eds.)
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 multicolored
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 Probabilistic Latent Clustering of Device Usage  Condensed Nearest Neighbor Data Domain Description  Balancing Strategies and Class Overlapping  Modeling Conditional Distributions of Continuous Variables in Bayesian Networks  Kernel KMeans for Categorical Data  Using Genetic Algorithms to Improve Accuracy of Economical Indexes Prediction  A DistanceBased Method for Preference Information Retrieval in Paired Comparisons  Knowledge Discovery in the Identification of Differentially Expressed Genes in Tumoricidal Macrophage  Searching for Meaningful Feature Interactions with BackwardChaining Rule Induction  Exploring Hierarchical Rule Systems in Parallel Coordinates  Bayesian Networks Learning for Gene Expression Datasets  Pulse: Mining Customer Opinions from Free Text  Keystroke Analysis of Different Languages: A Case Study  Combining Bayesian Networks with HigherOrder Data Representations  Removing Statistical Biases in Unsupervised Sequence Learning  Learning from Ambiguously Labeled Examples  Learning Label Preferences: Ranking Error Versus Position Error  FCLib: A Library for Building Data Analysis and Data Discovery Tools  A KnowledgeBased Model for Analyzing GSM Network Performance  Sentiment Classification Using Information Extraction Technique  Extending the SOM Algorithm to Visualize Word Relationships  Towards Automatic and Optimal Filtering Levels for Feature Selection in Text Categorization  Block Clustering of Contingency Table and Mixture Model  Adaptive Classifier Combination for Visual Information Processing Using Data ContextAwareness  Selfpoised Ensemble Learning  Discriminative Remote Homology Detection Using Maximal Unique Sequence Matches  From Local Pattern Mining to Relevant Bicluster Characterization  MachineLearning with Cellular Automata  MDS polar : A New Approach for Dimension Reduction to Visualize High Dimensional Data  Miner Ants Colony: A New Approach to Solve a Mine Planning Problem  Extending the GAEDA Hybrid Algorithm to Study Diversification and Intensification in GAs and EDAs  Spatial Approach to Pose Variations in Face Verification  Analysis of Feature Rankings for Classification  A Mixture ModelBased Online CEM Algorithm  Reliable Hierarchical Clustering with the Selforganizing Map  Statistical Recognition of Noun Phrases in Unrestricted Text  Successive Restrictions Algorithm in Bayesian Networks  Modelling the Relationship Between Streamflow and Electrical Conductivity in Hollin Creek, Southeastern Australia  Biological Cluster Validity Indices Based on the Gene Ontology  An Evaluation of Filter and Wrapper Methods for Feature Selection in Categorical Clustering  Dealing with Data Corruption in Remote Sensing  Regularized LeastSquares for Parse Ranking  Bayesian Network Classifiers for TimeSeries Microarray Data  Feature Discovery in Classification Problems  A New Hybrid NM Method and Particle Swarm Algorithm for Multimodal Function Optimization  Detecting Groups of Anomalously Similar Objects in Large Data Sets
 Control code
 262681840
 Dimensions
 unknown
 Extent
 1 online resource (xiv, 522 pages)
 Form of item
 online
 Isbn
 9783540287957
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number

 9786611404178
 9783540287957
 10.1007/11552253
 Other physical details
 illustrations (some color).
 http://library.link/vocab/ext/overdrive/overdriveId
 9783540287957
 Publisher number
 11552253
 Specific material designation
 remote
 System control number
 (OCoLC)262681840
 Label
 Advances in intelligent data analysis VI : 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 810, 2005 : proceedings, A. Fazel Famili [and others] (eds.)
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 multicolored
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 Probabilistic Latent Clustering of Device Usage  Condensed Nearest Neighbor Data Domain Description  Balancing Strategies and Class Overlapping  Modeling Conditional Distributions of Continuous Variables in Bayesian Networks  Kernel KMeans for Categorical Data  Using Genetic Algorithms to Improve Accuracy of Economical Indexes Prediction  A DistanceBased Method for Preference Information Retrieval in Paired Comparisons  Knowledge Discovery in the Identification of Differentially Expressed Genes in Tumoricidal Macrophage  Searching for Meaningful Feature Interactions with BackwardChaining Rule Induction  Exploring Hierarchical Rule Systems in Parallel Coordinates  Bayesian Networks Learning for Gene Expression Datasets  Pulse: Mining Customer Opinions from Free Text  Keystroke Analysis of Different Languages: A Case Study  Combining Bayesian Networks with HigherOrder Data Representations  Removing Statistical Biases in Unsupervised Sequence Learning  Learning from Ambiguously Labeled Examples  Learning Label Preferences: Ranking Error Versus Position Error  FCLib: A Library for Building Data Analysis and Data Discovery Tools  A KnowledgeBased Model for Analyzing GSM Network Performance  Sentiment Classification Using Information Extraction Technique  Extending the SOM Algorithm to Visualize Word Relationships  Towards Automatic and Optimal Filtering Levels for Feature Selection in Text Categorization  Block Clustering of Contingency Table and Mixture Model  Adaptive Classifier Combination for Visual Information Processing Using Data ContextAwareness  Selfpoised Ensemble Learning  Discriminative Remote Homology Detection Using Maximal Unique Sequence Matches  From Local Pattern Mining to Relevant Bicluster Characterization  MachineLearning with Cellular Automata  MDS polar : A New Approach for Dimension Reduction to Visualize High Dimensional Data  Miner Ants Colony: A New Approach to Solve a Mine Planning Problem  Extending the GAEDA Hybrid Algorithm to Study Diversification and Intensification in GAs and EDAs  Spatial Approach to Pose Variations in Face Verification  Analysis of Feature Rankings for Classification  A Mixture ModelBased Online CEM Algorithm  Reliable Hierarchical Clustering with the Selforganizing Map  Statistical Recognition of Noun Phrases in Unrestricted Text  Successive Restrictions Algorithm in Bayesian Networks  Modelling the Relationship Between Streamflow and Electrical Conductivity in Hollin Creek, Southeastern Australia  Biological Cluster Validity Indices Based on the Gene Ontology  An Evaluation of Filter and Wrapper Methods for Feature Selection in Categorical Clustering  Dealing with Data Corruption in Remote Sensing  Regularized LeastSquares for Parse Ranking  Bayesian Network Classifiers for TimeSeries Microarray Data  Feature Discovery in Classification Problems  A New Hybrid NM Method and Particle Swarm Algorithm for Multimodal Function Optimization  Detecting Groups of Anomalously Similar Objects in Large Data Sets
 Control code
 262681840
 Dimensions
 unknown
 Extent
 1 online resource (xiv, 522 pages)
 Form of item
 online
 Isbn
 9783540287957
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number

 9786611404178
 9783540287957
 10.1007/11552253
 Other physical details
 illustrations (some color).
 http://library.link/vocab/ext/overdrive/overdriveId
 9783540287957
 Publisher number
 11552253
 Specific material designation
 remote
 System control number
 (OCoLC)262681840
Subject
 COMPUTERS  Expert Systems
 Conference papers and proceedings
 Conference papers and proceedings
 Datenanalyse
 Expert systems (Computer science)
 Expert systems (Computer science)
 Expert systems (Computer science)  Congresses
 Informatique
 Kongress
 Madrid (2005)
 Mathematical statistics
 Mathematical statistics
 Mathematical statistics  Congresses
 Mathematical statistics  Data processing
 Mathematical statistics  Data processing
 Mathematical statistics  Data processing  Congresses
 Statistique mathématique
 Statistique mathématique  Congrès
 Statistique mathématique  Informatique  Congrès
 Système expert
 Systèmes experts (Informatique)  Congrès
 Traitement des données
 Analyse statistique
Genre
Member of
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