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Autor Carlo Natale Lauro |
Documentos disponibles escritos por este autor (2)
Refinar búsquedaData Analysis and Classification / SpringerLink (Online service) ; Francesco Palumbo ; Carlo Natale Lauro ; Michael J. Greenacre (2010)
Título : Data Analysis and Classification : Proceedings of the 6th Conference of the Classification and Data Analysis Group of the SocietàItaliana di Statistica Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Francesco Palumbo ; Carlo Natale Lauro ; Michael J. Greenacre Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2010 Colección: Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814 Número de páginas: XXII, 482 p. 109 illus Il.: online resource ISBN/ISSN/DL: 978-3-642-03739-9 Idioma : Inglés (eng) Palabras clave: Mathematics Probabilities Statistics Probability Theory and Stochastic Processes for Business/Economics/Mathematical Finance/Insurance Clasificación: 51 Matemáticas Resumen: 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 variables, knowledge extraction from temporal data, financial and economic applications, and missing values. Papers cover both theoretical and empirical aspects Nota de contenido: 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 -- Robust Clustering for Performance Evaluation -- Outliers Detection Strategy for a Curve Clustering Algorithm -- Robust Fuzzy Classification -- Weighted Likelihood Inference for a Mixed Regressive Spatial Autoregressive Model -- Detecting Price Outliers in European Trade Data with the Forward Search -- Statistical Methods for Financial and Economics Data -- Comparing Continuous Treatment Matching Methods in Policy Evaluation -- Temporal Aggregation and Closure of VARMA Models: Some New Results -- An Index for Ranking Financial Portfolios According to Internal Turnover -- Bayesian Hidden Markov Models for Financial Data -- Missing Values -- Regression Imputation for Space-Time Datasets with Missing Values -- A Multiple Imputation Approach in a Survey on University Teaching Evaluation En línea: http://dx.doi.org/10.1007/978-3-642-03739-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33716 Data Analysis and Classification : Proceedings of the 6th Conference of the Classification and Data Analysis Group of the SocietàItaliana di Statistica [documento electrónico] / SpringerLink (Online service) ; Francesco Palumbo ; Carlo Natale Lauro ; Michael J. Greenacre . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2010 . - XXII, 482 p. 109 illus : online resource. - (Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814) .
ISBN : 978-3-642-03739-9
Idioma : Inglés (eng)
Palabras clave: Mathematics Probabilities Statistics Probability Theory and Stochastic Processes for Business/Economics/Mathematical Finance/Insurance Clasificación: 51 Matemáticas Resumen: 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 variables, knowledge extraction from temporal data, financial and economic applications, and missing values. Papers cover both theoretical and empirical aspects Nota de contenido: 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 -- Robust Clustering for Performance Evaluation -- Outliers Detection Strategy for a Curve Clustering Algorithm -- Robust Fuzzy Classification -- Weighted Likelihood Inference for a Mixed Regressive Spatial Autoregressive Model -- Detecting Price Outliers in European Trade Data with the Forward Search -- Statistical Methods for Financial and Economics Data -- Comparing Continuous Treatment Matching Methods in Policy Evaluation -- Temporal Aggregation and Closure of VARMA Models: Some New Results -- An Index for Ranking Financial Portfolios According to Internal Turnover -- Bayesian Hidden Markov Models for Financial Data -- Missing Values -- Regression Imputation for Space-Time Datasets with Missing Values -- A Multiple Imputation Approach in a Survey on University Teaching Evaluation En línea: http://dx.doi.org/10.1007/978-3-642-03739-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33716 Ejemplares
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Título : New Developments in Classification and Data Analysis : Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Bologna, September 22–24, 2003 Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Hans-Hermann Bock ; Wolfgang A. Gaul ; Maurizio Vichi ; Ph. Arabie ; Daniel Baier ; F. Critchley ; Reinhold Decker ; Edwin Diday ; Michael J. Greenacre ; Carlo Natale Lauro ; J. Meulman ; Paola Monari ; S. Nishisato ; N. Ohsumi ; O. Opitz ; Gunter Ritter ; Schader, M ; Claus Weihs ; Maurizio Vichi ; Paola Monari ; Stefania Mignani ; Angela Montanari Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2005 Colección: Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814 Número de páginas: X, 370 p. 92 illus Il.: online resource ISBN/ISSN/DL: 978-3-540-27373-8 Idioma : Inglés (eng) Palabras clave: Statistics Database management for Business/Economics/Mathematical Finance/Insurance Life Sciences, Medicine, Health Sciences Management Clasificación: 51 Matemáticas Resumen: This volume contains revised versions of selected papers presented during the biannual meeting of the Classification and Data Analysis Group of SocietA Italiana di Statistica, which was held in Bologna, September 22-24, 2003. The scientific program of the conference included 80 contributed papers. Moreover it was possible to recruit six internationally renowned invited spe- ers for plenary talks on their current research works regarding the core topics of IFCS (the International Federation of Classification Societies) and Wo- gang Gaul and the colleagues of the GfKl organized a session. Thus, the conference provided a large number of scientists and experts from home and abroad with an attractive forum for discussions and mutual exchange of knowledge. The talks in the different sessions focused on methodological developments in supervised and unsupervised classification and in data analysis, also p- viding relevant contributions in the context of applications. This suggested the presentation of the 43 selected papers in three parts as follows: CLASSIFICATION AND CLUSTERING Non parametric classification Clustering and dissimilarities MULTIVARIATE STATISTICS AND DATA ANALYSIS APPLIED MULTIVARIATE STATISTICS Environmental data Microarray data Behavioural and text data Financial data We wish to express our gratitude to the authors whose enthusiastic p- ticipation made the meeting possible. We are very grateful to the reviewers for the time spent in their professional reviewing work. We would also like to extend our thanks to the chairpersons and discussants of the sessions: their comments and suggestions proved very stimulating both for the authors and the audience Nota de contenido: Classification and Clustering -- Multi-Class Budget Exploratory Trees -- Methods to Compare Nonparametric Classifiers and to Select the Predictors -- Variable Selection in Cell Classification Problems: A Strategy Based on Independent Component Analysis -- Simplifying Classification Trees Through Consensus Methods -- Selecting the Training Set in Classification Problems with Rare Events -- A Classification and Discrimination Integrated Strategy Conducted on Symbolic Data for Missing Data Treatment in Questionnaire Survey -- A Collinearity Based Hierarchical Method to Identify Clusters of Variables -- On the Dynamic Time Warping for Computing the Dissimilarity Between Curves -- Metrics in Symbolic Data Analysis -- Constrained Clusterwise Linear Regression -- Crossed Clustering Method on Symbolic Data Tables -- Multivariate Statistics and Data Analysis -- Some Statistical Applications of Centrosymmetric Matrices -- Selection of Structural Equation Models with the PLS-VB Programme -- Web Robot Detection - Preprocessing Web Logfiles for Robot Detection -- Data Dependent Prior Modeling and Estimation in Contingency Tables: The Order-Restricted RC Model -- PLS Typological Regression: Algorithmic, Classification and Validation Issues -- Weighted Metric Multidimensional Scaling -- An Improved Majorization Algorithm for Robust Procrustes Analysis -- Generalized Bi-Additive Modelling for Categorical Data -- Model Selection Procedures in Three-Mode Component Models -- Principal Component Analysis for Non-Precise Data -- A New Version of the Structural Dynamic Model with Unique Latent Scores -- Some Issues About the Use of Experts -- Nonparametric Methods in Survey Sampling -- A Different Approach for the Analysis of Web Access Logs -- Blending Statistics and Graphics in Visual Data Mining -- Confidence Regions in Multivariate Calibration: A Proposal -- Applied Multivariate Statistics -- Nonparametric Analysis of Air Pollution Indices Compositions -- VAR Models for Spatio-temporal Structures: An Application to Environmental Data -- Analysis of Spatial Covariance Structure for Environmental Data -- Bayesian Clustering of Gene Expression Dynamics: An Application -- A Hierarchical Mixture Model for Gene Expression Data -- Sequence Analysis of BHPS Life Course Data -- Robust Multivariate Methods for the Analysis of the University Performance -- Some Insights into the Evolution of 1990s' Standard Italian Using Text Mining Techniques and Automatic Categorization -- Evaluating Undergraduate Education Through Multiple Choice Tests -- A New Approach in Business Travel Survey: Multivariate Techniques for Strata Design -- Value-Orientations and Partnership -- An Item Response Theory Model for Student Ability Evaluation Using Computer-Automated Test Results -- Functional Cluster Analysis of Financial Time Series -- The Role of the Normal Distribution in Financial Markets -- Functional Principal Component Analysis of Financial Time Series -- Elliptically Symmetric Distributions: A Review of Achieved Results and Open Issues En línea: http://dx.doi.org/10.1007/b138989 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35278 New Developments in Classification and Data Analysis : Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Bologna, September 22–24, 2003 [documento electrónico] / SpringerLink (Online service) ; Hans-Hermann Bock ; Wolfgang A. Gaul ; Maurizio Vichi ; Ph. Arabie ; Daniel Baier ; F. Critchley ; Reinhold Decker ; Edwin Diday ; Michael J. Greenacre ; Carlo Natale Lauro ; J. Meulman ; Paola Monari ; S. Nishisato ; N. Ohsumi ; O. Opitz ; Gunter Ritter ; Schader, M ; Claus Weihs ; Maurizio Vichi ; Paola Monari ; Stefania Mignani ; Angela Montanari . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2005 . - X, 370 p. 92 illus : online resource. - (Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814) .
ISBN : 978-3-540-27373-8
Idioma : Inglés (eng)
Palabras clave: Statistics Database management for Business/Economics/Mathematical Finance/Insurance Life Sciences, Medicine, Health Sciences Management Clasificación: 51 Matemáticas Resumen: This volume contains revised versions of selected papers presented during the biannual meeting of the Classification and Data Analysis Group of SocietA Italiana di Statistica, which was held in Bologna, September 22-24, 2003. The scientific program of the conference included 80 contributed papers. Moreover it was possible to recruit six internationally renowned invited spe- ers for plenary talks on their current research works regarding the core topics of IFCS (the International Federation of Classification Societies) and Wo- gang Gaul and the colleagues of the GfKl organized a session. Thus, the conference provided a large number of scientists and experts from home and abroad with an attractive forum for discussions and mutual exchange of knowledge. The talks in the different sessions focused on methodological developments in supervised and unsupervised classification and in data analysis, also p- viding relevant contributions in the context of applications. This suggested the presentation of the 43 selected papers in three parts as follows: CLASSIFICATION AND CLUSTERING Non parametric classification Clustering and dissimilarities MULTIVARIATE STATISTICS AND DATA ANALYSIS APPLIED MULTIVARIATE STATISTICS Environmental data Microarray data Behavioural and text data Financial data We wish to express our gratitude to the authors whose enthusiastic p- ticipation made the meeting possible. We are very grateful to the reviewers for the time spent in their professional reviewing work. We would also like to extend our thanks to the chairpersons and discussants of the sessions: their comments and suggestions proved very stimulating both for the authors and the audience Nota de contenido: Classification and Clustering -- Multi-Class Budget Exploratory Trees -- Methods to Compare Nonparametric Classifiers and to Select the Predictors -- Variable Selection in Cell Classification Problems: A Strategy Based on Independent Component Analysis -- Simplifying Classification Trees Through Consensus Methods -- Selecting the Training Set in Classification Problems with Rare Events -- A Classification and Discrimination Integrated Strategy Conducted on Symbolic Data for Missing Data Treatment in Questionnaire Survey -- A Collinearity Based Hierarchical Method to Identify Clusters of Variables -- On the Dynamic Time Warping for Computing the Dissimilarity Between Curves -- Metrics in Symbolic Data Analysis -- Constrained Clusterwise Linear Regression -- Crossed Clustering Method on Symbolic Data Tables -- Multivariate Statistics and Data Analysis -- Some Statistical Applications of Centrosymmetric Matrices -- Selection of Structural Equation Models with the PLS-VB Programme -- Web Robot Detection - Preprocessing Web Logfiles for Robot Detection -- Data Dependent Prior Modeling and Estimation in Contingency Tables: The Order-Restricted RC Model -- PLS Typological Regression: Algorithmic, Classification and Validation Issues -- Weighted Metric Multidimensional Scaling -- An Improved Majorization Algorithm for Robust Procrustes Analysis -- Generalized Bi-Additive Modelling for Categorical Data -- Model Selection Procedures in Three-Mode Component Models -- Principal Component Analysis for Non-Precise Data -- A New Version of the Structural Dynamic Model with Unique Latent Scores -- Some Issues About the Use of Experts -- Nonparametric Methods in Survey Sampling -- A Different Approach for the Analysis of Web Access Logs -- Blending Statistics and Graphics in Visual Data Mining -- Confidence Regions in Multivariate Calibration: A Proposal -- Applied Multivariate Statistics -- Nonparametric Analysis of Air Pollution Indices Compositions -- VAR Models for Spatio-temporal Structures: An Application to Environmental Data -- Analysis of Spatial Covariance Structure for Environmental Data -- Bayesian Clustering of Gene Expression Dynamics: An Application -- A Hierarchical Mixture Model for Gene Expression Data -- Sequence Analysis of BHPS Life Course Data -- Robust Multivariate Methods for the Analysis of the University Performance -- Some Insights into the Evolution of 1990s' Standard Italian Using Text Mining Techniques and Automatic Categorization -- Evaluating Undergraduate Education Through Multiple Choice Tests -- A New Approach in Business Travel Survey: Multivariate Techniques for Strata Design -- Value-Orientations and Partnership -- An Item Response Theory Model for Student Ability Evaluation Using Computer-Automated Test Results -- Functional Cluster Analysis of Financial Time Series -- The Role of the Normal Distribution in Financial Markets -- Functional Principal Component Analysis of Financial Time Series -- Elliptically Symmetric Distributions: A Review of Achieved Results and Open Issues En línea: http://dx.doi.org/10.1007/b138989 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35278 Ejemplares
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