Advances in intelligent data analysis : 4th international conference, IDA 2001, Cascais, Portugal, September 13-15, 2001 proceedings
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|---|---|
| Drugi avtorji: | , , |
| Format: | Livre numérique |
| Jezik: | Anglais |
| Izdano: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Serija: | Lecture notes in computer science
2189 |
| Teme: | |
| Online dostop: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Sporočilo: |
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, 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 |
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| 009 | PPN155199439 | ||
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| 041 | 0 | |a eng | |
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| 111 | 2 | |a International Conference on Advances in intelligent data analysis |n (04 |d :2001 |c :Cascais, Portugal). | |
| 245 | 1 | 0 | |a Advances in intelligent data analysis : |b 4th international conference, IDA 2001, Cascais, Portugal, September 13-15, 2001 proceedings |c edited by Frank Hoffmann, David J. Hand, Niall Adams... [et al.]. |
| 260 | |a Berlin [etc.] : |b Springer. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Lecture notes in computer science |v 2189 |x 1611-3349 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a 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. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 650 | |a Informatique | ||
| 650 | |a Intelligence artificielle | ||
| 650 | |a Analyse des données | ||
| 650 | |a Perception des structures | ||
| 650 | |a Informatique documentaire | ||
| 650 | |a Statistique mathématique | ||
| 650 | |a Systèmes experts (informatique) | ||
| 650 | |a Actes de congrès | ||
| 700 | 1 | |a Hand, David J, |d 1950- |4 pbd | |
| 700 | 1 | |a Hoffmann, Frank, |d 19..-...., |c chercheur en informatique. |4 pbd | |
| 700 | 1 | |a Adams, Niall, |d 1968- |4 pbd | |
| 776 | 0 | |0 058899707 |t Advances in intelligent data analysis |o 4th international conference, IDA 2001 Cascais, Portugal, September 13-15, 2001 proceedings |f Frank Hoffmann ... [et al.] (eds.) |d 2001 |c New York |n Springer |p 1 vol. (XII-384 p.) |s Lecture notes in computer science |z 3-540-42581-0 | |
| 776 | 0 | |t Advances in Intelligent Data Analysis |b Texte imprimé |z 9783662211601 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/3-540-44816-0 |z Accès sur la plateforme de l'éditeur | |
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| 997 | |0 948928 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||