Description 
1 online resource (xiv, 522 pages) : illustrations (some color) 
Series 
Lecture notes in computer science, 03029743 ; 3646 

Lecture notes in computer science ; 3646. 03029743

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 
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 
Analysis 
informatieontsluiting 

information retrieval 

informatieopslag 

information storage 

waarschijnlijkheid 

probability 

statistiek 

statistics 

computerwetenschappen 

computer sciences 

kunstmatige intelligentie 

artificial intelligence 

bedrijfsinformatiesystemen 

management information systems 

patroonherkenning 

pattern recognition 

Information and Communication Technology (General) 

Informatie en communicatietechnologie (algemeen) 
Bibliography 
Includes bibliographical references and index 
Notes 
English 

Print version record 
Subject 
Mathematical statistics  Congresses


Mathematical statistics  Data processing  Congresses


Expert systems (Computer science)  Congresses


COMPUTERS  Expert Systems.


Informatique.


Expert systems (Computer science)


Mathematical statistics.


Mathematical statistics  Data processing.


Datenanalyse


Système expert.


Analyse statistique.


Traitement des données.


Statistique mathématique.

Genre/Form 
Conference papers and proceedings.


Conference papers and proceedings.


Actes de congrès.


Kongress.


Madrid (2005)

Form 
Electronic book

Author 
Famili, A. Fazel

ISBN 
9783540319269 

3540319263 

3540287957 

9783540287957 

6611404171 

9786611404178 
