Data Analysis and Classification : Proceedings of the 6th Conference of the Classification and Data Analysis Group of the Società Italiana di Statistica
The volume provides results from the latest methodological developments in data analysis and classification and highlights new emerging subjects within the field. It contains articles about statistical models, classification, cluster analysis, multidimensional scaling, multivariate analysis, latent...
Salvato in:
| Autore principale: | |
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| Altri autori: | , |
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edizione: | 1st ed. 2010. |
| Serie: | Studies in Classification, Data Analysis, and Knowledge Organization
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| Accesso online: | 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: | • Data analysis and classification, proceedings, of the 6th conference of the Classification and Data Analysis Group of the Società Italiana di Statistica, 2010, Heidelberg [etc.], Springer, 1 vol. (XXII-482 p.), Studies in classification, data analysis, and knowledge organization, 978-3-642-03738-2 • Data Analysis and Classification, Texte imprimé, 9783642038105 |
Sommario:
- Key-note Clustering of High-Dimensional and Correlated Data Statistical Methods for Cryptography Cluster Analysis An Algorithm for Earthquakes Clustering Based on Maximum Likelihood A Two-Step Iterative Procedure for Clustering of Binary Sequences Clustering Linear Models Using Wasserstein Distance Comparing Approaches for Clustering Mixed Mode Data: An Application in Marketing Research The Progressive Single Linkage Algorithm Based on Minkowski Ultrametrics Visualization of Model-Based Clustering Structures Multivariate Analysis and Application Models for Asymmetry in Proximity Data Intimate Femicide in Italy: A Model to Classify How Killings Happened Two-Dimensional Centrality of Asymmetric Social Network The Forward Search for Classical Multidimensional Scaling When the Starting Data Matrix Is Known Multivariate Analysis and Application Discriminant Analysis on Mixed Predictors A Statistical Calibration Model for Affymetrix Probe Level Data A Proposal to Fuzzify Categorical Variables in Operational Risk Management Common Optimal Scaling for Customer Satisfaction Models: A Point to Cobb Douglas Form Structural Neural Networks for Modeling Customer Satisfaction Dimensionality of Scores Obtained with a Paired-Comparison Tournament System of Questionnaire Items Using Rasch Measurement to Assess the Role of the Traditional Family in Italy Preserving the Clustering Structure by a Projection Pursuit Approach Association Rule Mining of Multimedia Content Classification and Classification Tree Automatic Dictionary- and Rule-Based Systems for Extracting Information from Text Several Computational Studies About Variable Selection for Probabilistic Bayesian Classifiers Semantic Classification and Co-occurrences: A Method for the Rules Production for the Information Extraction from Textual Data The Effectiveness of University Education: A Structural Equation Model Simultaneous Threshold Interaction Detection in Binary Classification Detecting Subset of Classifiers for Multi-attribute Response Prediction Clustering Textual Data by Latent Dirichlet Allocation: Applications and Extensions to Hierarchical Data Multilevel Latent Class Models for Evaluation of Long-term Care Facilities Author Coauthor Social Networks and Emerging Scientific Subfields Statistical Models A Hierarchical Model for Time Dependent Multivariate Longitudinal Data Covariate Error Bias Effects in Dynamic Regression Model Estimation and Improvement in the Prediction by Covariate Local Clusters Local Multilevel Modeling for Comparisons of Institutional Performance Modelling Network Data: An Introduction to Exponential Random Graph Models Latent Variables An Analysis of Earthquakes Clustering Based on a Second-Order Diagnostic Approach Latent Regression in Rasch Framework A Multilevel Latent Variable Model for Multidimensional Longitudinal Data Turning Point Detection Using Markov Switching Models with Latent Information Knowledge Extraction from Temporal Data Statistical and Numerical Algorithms for Time Series Classification Mining Time Series Data: A Selective Survey Predictive Dynamic Models for SMEs Clustering Algorithms for Large Temporal Data Sets Outlier Detection and Robust Methods