Advances in intelligent data analysis : third international symposium, IDA-99, Amsterdam, The Netherlands, August 9-11, 1999 : proceedings
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| Outros autores: | , , |
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Series: | Lecture notes in computer science
1642 |
| Sujets: | |
| Acceso en liña: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Advances in intelligent data analysis, third international symposium, IDA-99, Amsterdam, The Netherlands, August 9-11, 1999, proceedings, David J. Hand, Joost N. Kok, Michael R. Berthold (eds.), 1999, Berlin, Springer, 1 vol. (XII-538 p.), Lecture notes in computer science, 3-540-66332-0 • Advances in Intelligent Data Analysis, Texte imprimé, 9783662173565 |
Table des matières:
- Learning
- From Theoretical Learnability to Statistical Measures of the Learnable
- ALM: A Methodology for Designing Accurate Linguistic Models for Intelligent Data Analysis
- A Top-Down and Prune Induction Scheme for Constrained Decision Committees
- Mining Clusters with Association Rules
- Evolutionary Computation to Search for Strongly Correlated Variables in High-Dimensional Time-Series
- The Biases of Decision Tree Pruning Strategies
- Feature Selection as Retrospective Pruning in Hierarchical Clustering
- Discriminative Power of Input Features in a Fuzzy Model
- Learning Elements of Representations for Redescribing Robot Experiences
- Seeing Objects in Spatial Datasets
- Intelligent Monitoring Method Using Time Varying Binomial Distribution Models for Pseudo-Periodic Communication Traffic
- Visualization
- Monitoring Human Information Processing via Intelligent Data Analysis of EEG Recordings
- Knowledge-Based Visualization to Support Spatial Data Mining
- Probabilistic Topic Maps: Navigating through Large Text Collections
- 3D Grand Tour for Multidimensional Data and Clusters
- Classification and Clustering
- A Decision Tree Algorithm for Ordinal Classification
- Discovering Dynamics Using Bayesian Clustering
- Integrating Declarative Knowledge in Hierarchical Clustering Tasks
- Nonparametric Linear Discriminant Analysis by Recursive Optimization with Random Initialization
- Supervised Classification Problems: How to Be Both Judge and Jury
- Temporal Pattern Generation Using Hidden Markov Model Based Unsupervised Classification
- Exploiting Similarity for Supporting Data Analysis and Problem Solving
- Multiple Prototype Model for Fuzzy Clustering
- A Comparison of Genetic Programming Variants for Data Classification
- Fuzzy Clustering Based onModified Distance Measures
- Building Classes in Object-Based Languages by Automatic Clustering
- Integration
- Adjusted Estimation for the Combination of Classifiers
- Data-Driven Theory Refinement Using KBDistAl
- Reasoning about Input-Output Modeling of Dynamical Systems
- Undoing Statistical Advice
- A Method for Temporal Knowledge Conversion
- Applications
- Intrusion Detection through Behavioral Data
- Bayesian Neural Network Learning for Prediction in the Australian Dairy Industry
- Exploiting Sample-Data Distributions to Reduce the Cost of Nearest-Neighbor Searches with Kd-Trees
- Pump Failure Detection Using Support Vector Data Descriptions
- Data Mining for the Detection of Turning Points in Financial Time Series
- Computer-Assisted Classification of Legal Abstracts
- Sequential Control Logic Inferring Method from Observed Plant I/O Data
- Evaluating an Eye Screening Test
- Application of Rough Sets Algorithms to Prediction of Aircraft Component Failure
- Media Mining
- Exploiting Structural Information for Text Classification on the WWW
- Multi-agent Web Information Retrieval: Neural Network Based Approach
- Adaptive Information Filtering Algorithms
- A Conceptual Graph Approach for Video Data Representation and Retrieval.