Advances in intelligent data analysis : 4th international conference, IDA 2001, Cascais, Portugal, September 13-15, 2001 proceedings

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Müşterek Yazar: International Conference on Advances in intelligent data analysis :Cascais, Portugal
Diğer Yazarlar: Hand, David J, 1950- (Yayın yönetmeni), Hoffmann, Frank, 19..-...., chercheur en informatique (Yayın yönetmeni), Adams, Niall, 1968- (Yayın yönetmeni)
Materyal Türü: Livre numérique
Dil:Anglais
Baskı/Yayın Bilgisi: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Seri Bilgileri:Lecture notes in computer science 2189
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Accès Université d'Orléans
Accès INSA CVL
Not: Archives Springer e-books (Licence nationale)
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Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Advances in intelligent data analysis, 4th international conference, IDA 2001 Cascais, Portugal, September 13-15, 2001 proceedings, Frank Hoffmann ... [et al.] (eds.), 2001, New York, Springer, 1 vol. (XII-384 p.), Lecture notes in computer science, 3-540-42581-0
• Advances in Intelligent Data Analysis, Texte imprimé, 9783662211601
İçindekiler:
  • The Fourth International Symposium on Intelligent Data Analysis
  • Feature Characterization in Scientific Datasets
  • Relevance Feedback in the Bayesian Network Retrieval Model: An Approach Based on Term Instantiation
  • Generating Fuzzy Summaries From Fuzzy Multidimensional Databases
  • A Mixture-of-Experts Framework for Learning from Imbalanced Data Sets
  • Predicting Time-Varying Functions with Local Models
  • Building Models of Ecological Dynamics Using HMM Based Temporal Data Clustering A Preliminary Study
  • Tagging with Small Training Corpora
  • A Search Engine for Morphologically Complex Languages
  • Errors Detection and Correction in Large Scale Data Collecting
  • A New Framework to Assess Association Rules
  • Communities of Interest
  • An Evaluation of Grading Classifiers
  • Finding Informative Rules in Interval Sequences
  • Correlation-Based and Contextual Merit-Based Ensemble Feature Selection
  • Nonmetric Multidimensional Scaling with Neural Networks
  • Functional Trees for Regression
  • Data Mining with Products of Trees
  • S 3Bagging: Fast Classifier Induction Method with Subsampling and Bagging
  • RNA-Sequence-Structure Properties and Selenocysteine Insertion
  • An Algorithm for Segmenting Categorical Time Series into Meaningful Episodes
  • An Empirical Comparison of Pruning Methods for Ensemble Classifiers
  • A framework for Modelling Short, High-Dimensional Multivariate Time Series: Preliminary Results in Virus Gene Expression Data Analysis
  • Using Multiattribute Prediction Suffix Graphs for Spanish Part-of-Speech Tagging
  • Self-Supervised Chinese Word Segmentation
  • Analyzing Data Clusters: A Rough Sets Approach to Extract Cluster-Defining Symbolic Rules
  • Finding Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables
  • Fluent Learning: Elucidatingthe Structure of Episodes
  • An Intelligent Decision Support Model for Aviation Weather Forcasting
  • MAMBO: Discovering Association Rules Based on Conditional Independencies
  • Model Building for Random Fields
  • Active Hidden Markov Models for Information Extraction
  • Adaptive Lightweight Text Filtering
  • General Algorithm for Approximate Inference in Multiply Sectioned Bayesian Networks
  • Investigating Temporal Patterns of Fault Behaviour Within Large Telephony Networks
  • Closed Set Based Discovery of Representative Association Rules
  • Intelligent Sensor Analysis and Actuator Control
  • Sampling of Highly Correlated Data for Polynomial Regression and Model Discovery
  • The IDA 01 Robot Data Challenge
  • The IDA 01 Robot Data Challenge.