Advances in Intelligent Data Analysis V 5th International Symposium on Intelligent Data Analysis, IDA 2003, Berlin, Germany, August 28-30, 2003, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Berthold, Michael R. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Lenz, Hans-Joachim (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Bradley, Elizabeth (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Kruse, Rudolf (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Borgelt, Christian (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003.
• Έκδοση: 1st ed. 2003.
• Σειρά: Lecture Notes in Computer Science, 2810
• Θέματα: Artificial intelligence.; Information storage and retrieval.; Mathematical statistics.; Pattern recognition.; Application software.; Information technology.; Business-Data processing.; Artificial Intelligence.; Information Storage and Retrieval.; Probability and Statistics in Computer Science.; Pattern Recognition.; Computer Appl. in Administrative Data Processing.; IT in Business.

We are glad to present the proceedings of the 5th biennial conference in the Intelligent Data Analysis series. The conference took place in Berlin, Germany, August 28-30, 2003. IDA has by now clearly grown up. Started as a small si- symposium of a larger conference in 1995 in Baden-Baden (Germany) i...

Πίνακας περιεχομένων:

• Machine Learning
• Pruning for Monotone Classification Trees
• Regularized Learning with Flexible Constraints
• Learning to Answer Emails
• A Semi-supervised Method for Learning the Structure of Robot Environment Interactions
• Using Domain Specific Knowledge for Automated Modeling
• Resolving Rule Conflicts with Double Induction
• A Novel Partial-Memory Learning Algorithm Based on Grey Relational Structure
• Constructing Hierarchical Rule Systems
• Text Categorization Using Hybrid Multiple Model Schemes
• Probability and Topology
• Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
• Topology and Intelligent Data Analysis
• Coherent Conditional Probability as a Measure of Information of the Relevant Conditioning Events
• Very Predictive Ngrams for Space-Limited Probabilistic Models
• Interval Estimation Naïve Bayes
• Mining Networks and Central Entities in Digital Libraries. A Graph Theoretic Approach Applied to Co-author Networks
• Classification and Pattern Recognition
• Learning Linear Classifiers Sensitive to Example Dependent and Noisy Costs
• An Effective Associative Memory for Pattern Recognition
• Similarity Based Classification
• Numerical Attributes in Decision Trees: A Hierarchical Approach
• Similarity-Based Neural Networks for Applications in Computational Molecular Biology
• Combining Pairwise Classifiers with Stacking
• APRIORI-SD: Adapting Association Rule Learning to Subgroup Discovery
• Solving Classification Problems Using Infix Form Genetic Programming
• Clustering
• What Is Fuzzy about Fuzzy Clustering? Understanding and Improving the Concept of the Fuzzifier
• A Mixture Model Approach for Binned Data Clustering
• Fuzzy Clustering Based Segmentation of Time-Series
• An Iterated Local Search Approach for Minimum Sum-of-Squares Clustering
• Data Clustering in Tolerance Space
• Refined Shared Nearest Neighbors Graph for Combining Multiple Data Clusterings
• Clustering Mobile Trajectories for Resource Allocation in Mobile Environments
• Fuzzy Clustering of Short Time-Series and Unevenly Distributed Sampling Points
• Combining and Comparing Cluster Methods in a Receptor Database
• Applications
• Selective Sampling with a Hierarchical Latent Variable Model
• Obtaining Quality Microarray Data via Image Reconstruction
• Large Scale Mining of Molecular Fragments with Wildcards
• Genome-Wide Prokaryotic Promoter Recognition Based on Sequence Alignment Kernel
• Towards Automated Electrocardiac Map Interpretation: An Intelligent Contouring Tool Based on Spatial Aggregation
• Study of Canada/US Dollar Exchange Rate Movements Using Recurrent Neural Network Model of FX-Market
• Gaussian Mixture Density Estimation Applied to Microarray Data
• Classification of Protein Localisation Patterns via Supervised Neural Network Learning
• Applying Intelligent Data Analysis to Coupling Relationships in Object-Oriented Software
• The Smaller the Better: Comparison of Two Approaches for Sales Rate Prediction
• Modeling
• A Multiagent-Based Constructive Approach for Feedforward Neural Networks
• Evolutionary System Identification via Descriptive Takagi Sugeno Fuzzy Systems
• Minimum Message Length Criterion for Second-Order Polynomial Model Selection Applied to Tropical Cyclone Intensity Forecasting
• On the Use of the GTM Algorithm for Mode Detection
• Regularization Methods for Additive Models
• Automated Detection of Influenza Epidemics with Hidden Markov Models
• Guided Incremental Construction of Belief Networks
• Distributed Regression for Heterogeneous Data Sets
• (Data) Preprocessing
• A Logical Formalisation of the Fellegi-Holt Method of Data Cleaning
• Compression Technique Preserving Correlations of a Multivariate Temporal Sequence
• Condensed Representations in Presence of Missing Values
• Measures of Rule Quality for Feature Selection in Text Categorization
• Genetic Approach to Constructive Induction Based on Non-algebraic Feature Representation
• Active Feature Selection Based on a Very Limited Number of Entities.