Advances in intelligent data analysis : third international symposium, IDA-99, Amsterdam, The Netherlands, August 9-11, 1999 : proceedings
Uloženo v:
| Korporativní autor: | |
|---|---|
| Další autoři: | , , |
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Edice: | Lecture notes in computer science
1642 |
| Témata: | |
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Poznámka: |
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 |
| LEADER | 05813nam a22004697a 4500 | ||
|---|---|---|---|
| 001 | 971122 | ||
| 008 | 110927q2000 xxe ||| |||| 00| 0 eng d | ||
| 009 | PPN155201867 | ||
| 020 | |a 9783540484127 (PDF) | ||
| 041 | 0 | |a eng | |
| 082 | |a 310 | ||
| 082 | |a 004 | ||
| 082 | |a 006.3 | ||
| 111 | 2 | |a International Symposium on Intelligent Data Analysis |n (03 |d :1999 |c :Amsterdam). | |
| 245 | 1 | 0 | |a Advances in intelligent data analysis : |b third international symposium, IDA-99, Amsterdam, The Netherlands, August 9-11, 1999 : proceedings |c [edited by] David J. Hand, Joost N. Kok, Michael R. Berthold. |
| 260 | |a Berlin [etc.] : |b Springer. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Lecture notes in computer science |v 1642 |x 1611-3349 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a 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. | |
| 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 Kok, Joost. N., |d 1974- |4 pbd | |
| 700 | 1 | |a Berthold, Michael R., |d 1966- |4 pbd | |
| 776 | 0 | |0 046436928 |t Advances in intelligent data analysis |o third international symposium, IDA-99, Amsterdam, The Netherlands, August 9-11, 1999 |o proceedings |f David J. Hand, Joost N. Kok, Michael R. Berthold (eds.) |d 1999 |c Berlin |n Springer |p 1 vol. (XII-538 p.) |s Lecture notes in computer science |z 3-540-66332-0 | |
| 776 | 0 | |t Advances in Intelligent Data Analysis |b Texte imprimé |z 9783662173565 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/3-540-48412-4 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-N9VC02PC-Z |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:750602678 |u https://ezproxy.univ-orleans.fr/login?url=https://doi.org/10.1007/3-540-48412-4 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:753962985 |u https://ezproxy.insa-cvl.fr/login?qurl=https://doi.org/10.1007/3-540-48412-4 |z Accès INSA CVL | |
| 997 | |0 971122 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||

