Información del autor
Autor Maurizio Vichi |
Documentos disponibles escritos por este autor (8)
Refinar búsquedaClassification and Data Mining / SpringerLink (Online service) ; Antonio Giusti ; Gunter Ritter ; Maurizio Vichi (2013)
Título : Classification and Data Mining Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Antonio Giusti ; Gunter Ritter ; Maurizio Vichi Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2013 Otro editor: Imprint: Springer Colección: Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814 Número de páginas: XIV, 286 p. 85 illus., 49 illus. in color Il.: online resource ISBN/ISSN/DL: 978-3-642-28894-4 Idioma : Inglés (eng) Palabras clave: Statistics Database management Data mining Statistical Theory and Methods Management Mining Knowledge Discovery Clasificación: 51 Matemáticas Resumen: This volume contains both methodological papers showing new original methods, and papers on applications illustrating how new domain-specific knowledge can be made available from data by clever use of data analysis methods. The volume is subdivided in three parts: Classification and Data Analysis; Data Mining; and Applications. The selection of peer reviewed papers had been presented at a meeting of classification societies held in Florence, Italy, in the area of "Classification and Data Mining" Nota de contenido: Classification and Data Analysis -- Data Mining -- Applications En línea: http://dx.doi.org/10.1007/978-3-642-28894-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32498 Classification and Data Mining [documento electrónico] / SpringerLink (Online service) ; Antonio Giusti ; Gunter Ritter ; Maurizio Vichi . - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013 . - XIV, 286 p. 85 illus., 49 illus. in color : online resource. - (Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814) .
ISBN : 978-3-642-28894-4
Idioma : Inglés (eng)
Palabras clave: Statistics Database management Data mining Statistical Theory and Methods Management Mining Knowledge Discovery Clasificación: 51 Matemáticas Resumen: This volume contains both methodological papers showing new original methods, and papers on applications illustrating how new domain-specific knowledge can be made available from data by clever use of data analysis methods. The volume is subdivided in three parts: Classification and Data Analysis; Data Mining; and Applications. The selection of peer reviewed papers had been presented at a meeting of classification societies held in Florence, Italy, in the area of "Classification and Data Mining" Nota de contenido: Classification and Data Analysis -- Data Mining -- Applications En línea: http://dx.doi.org/10.1007/978-3-642-28894-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32498 Ejemplares
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Título : Classification and Multivariate Analysis for Complex Data Structures Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Bernard Fichet ; Piccolo, Domenico ; Rosanna Verde ; Maurizio Vichi Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2011 Colección: Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814 Número de páginas: XIX, 473 p. 110 illus., 34 illus. in color Il.: online resource ISBN/ISSN/DL: 978-3-642-13312-1 Idioma : Inglés (eng) Palabras clave: Statistics Data structures (Computer science) Mathematical statistics Multimedia information systems Probabilities Statistical Theory and Methods Probability in Computer Science Structures, Cryptology Information Stochastic Processes Systems Clasificación: 51 Matemáticas Resumen: The growing capabilities in generating and collecting data has risen an urgent need of new techniques and tools in order to analyze, classify and summarize statistical information, as well as to discover and characterize trends, and to automatically bag anomalies. This volume provides the latest advances in data analysis methods for multidimensional data which can present a complex structure: The book offers a selection of papers presented at the first Joint Meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society. Special attention is paid to new methodological contributions from both the theoretical and the applicative point of views, in the fields of Clustering, Classification, Time Series Analysis, Multidimensional Data Analysis, Knowledge Discovery from Large Datasets, Spatial Statistics Nota de contenido: Key Notes -- Classification and Discrimination -- Data Mining -- Robustness and Classification -- Categorical Data and Latent Class Approach -- Latent Variables and Related Methods -- Symbolic, Multivalued and Conceptual Data Analysis -- Spatial, Temporal, Streaming and Functional Data Analysis -- Bio and Health Science En línea: http://dx.doi.org/10.1007/978-3-642-13312-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33363 Classification and Multivariate Analysis for Complex Data Structures [documento electrónico] / SpringerLink (Online service) ; Bernard Fichet ; Piccolo, Domenico ; Rosanna Verde ; Maurizio Vichi . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2011 . - XIX, 473 p. 110 illus., 34 illus. in color : online resource. - (Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814) .
ISBN : 978-3-642-13312-1
Idioma : Inglés (eng)
Palabras clave: Statistics Data structures (Computer science) Mathematical statistics Multimedia information systems Probabilities Statistical Theory and Methods Probability in Computer Science Structures, Cryptology Information Stochastic Processes Systems Clasificación: 51 Matemáticas Resumen: The growing capabilities in generating and collecting data has risen an urgent need of new techniques and tools in order to analyze, classify and summarize statistical information, as well as to discover and characterize trends, and to automatically bag anomalies. This volume provides the latest advances in data analysis methods for multidimensional data which can present a complex structure: The book offers a selection of papers presented at the first Joint Meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society. Special attention is paid to new methodological contributions from both the theoretical and the applicative point of views, in the fields of Clustering, Classification, Time Series Analysis, Multidimensional Data Analysis, Knowledge Discovery from Large Datasets, Spatial Statistics Nota de contenido: Key Notes -- Classification and Discrimination -- Data Mining -- Robustness and Classification -- Categorical Data and Latent Class Approach -- Latent Variables and Related Methods -- Symbolic, Multivalued and Conceptual Data Analysis -- Spatial, Temporal, Streaming and Functional Data Analysis -- Bio and Health Science En línea: http://dx.doi.org/10.1007/978-3-642-13312-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33363 Ejemplares
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Título : Compstat 2006 - Proceedings in Computational Statistics : 17th Symposium Held in Rome, Italy, 2006 Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Rizzi, Alfredo ; Maurizio Vichi Editorial: Heidelberg : Physica-Verlag HD Fecha de publicación: 2006 Número de páginas: XXV, 537 p Il.: online resource ISBN/ISSN/DL: 978-3-7908-1709-6 Idioma : Inglés (eng) Palabras clave: Mathematics Mathematical statistics Database management Information storage and retrieval Computer software Probabilities Statistics Probability Theory Stochastic Processes Software Management Computing/Statistics Programs Storage Retrieval in Science Clasificación: 51 Matemáticas Resumen: International Association for Statistical Computing The International Association for Statistical Computing (IASC) is a Section of the International Statistical Institute. The objectives of the Association are to foster world-wide interest in e?ective statistical computing and to - change technical knowledge through international contacts and meetings - tween statisticians, computing professionals, organizations, institutions, g- ernments and the general public. The IASC organises its own Conferences, IASC World Conferences, and COMPSTAT in Europe. The 17th Conference of ERS-IASC, the biennial meeting of European - gional Section of the IASC was held in Rome August 28 - September 1, 2006. This conference took place in Rome exactly 20 years after the 7th COMP- STAT symposium which was held in Rome, in 1986. Previous COMPSTAT conferences were held in: Vienna (Austria, 1974); West-Berlin (Germany, 1976); Leiden (The Netherlands, 1978); Edimbourgh (UK, 1980); Toulouse (France, 1982); Prague (Czechoslovakia, 1984); Rome (Italy, 1986); Copenhagen (Denmark, 1988); Dubrovnik (Yugoslavia, 1990); Neuch atel (Switzerland, 1992); Vienna (Austria,1994); Barcelona (Spain, 1996);Bristol(UK,1998);Utrecht(TheNetherlands,2000);Berlin(Germany, 2002); Prague (Czech Republic, 2004) Nota de contenido: Classification and Clustering -- Issues of robustness and high dimensionality in cluster analysis -- Fuzzy K-medoids clustering models for fuzzy multivariate time trajectories -- Bootstrap methods for measuring classification uncertainty in latent class analysis -- A robust linear grouping algorithm -- Computing and using the deviance with classification trees -- Estimation procedures for the false discovery rate: a systematic comparison for microarray data -- A unifying model for biclustering -- Image Analysis and Signal Processing -- Non-rigid image registration using mutual information -- Musical audio analysis using sparse representations -- Robust correspondence recognition for computer vision -- Blind superresolution -- Analysis of Music Time Series -- Data Visualization -- Tying up the loose ends in simple, multiple, joint correspondence analysis -- 3 dimensional parallel coordinates plot and its use for variable selection -- Geospatial distribution of alcohol-related violence in Northern Virginia -- Visualization in comparative music research -- Exploratory modelling analysis: visualizing the value of variables -- Density estimation from streaming data using wavelets -- Multivariate Analysis -- Reducing conservatism of exact small-sample methods of inference for discrete data -- Symbolic data analysis: what is it? -- A dimensional reduction method for ordinal three-way contingency table -- Operator related to a data matrix: a survey -- Factor interval data analysis and its application -- Identifying excessively rounded or truncated data -- Statistical inference and data mining: false discoveries control -- Is ‘Which model . . .?’ the right question? -- Use of latent class regression models with a random intercept to remove the effects of the overall response rating level -- Discrete functional data analysis -- Self organizing MAPS: understanding, measuring and reducing variability -- Parameterization and estimation of path models for categorical data -- Latent class model with two latent variables for analysis of count data -- Web Based Teaching -- Challenges concerning web data mining -- e-Learning statistics — a selective review -- Quality assurance of web based e-Learning for statistical education -- Algorithms -- Genetic algorithms for building double threshold generalized autoregressive conditional heteroscedastic models of time series -- Nonparametric evaluation of matching noise -- Subset selection algorithm based on mutual information -- Visiting near-optimal solutions using local search algorithms -- The convergence of optimization based GARCH estimators: theory and application -- The stochastics of threshold accepting: analysis of an application to the uniform design problem -- Robustness -- Robust classification with categorical variables -- Multiple group linear discriminant analysis: robustness and error rate En línea: http://dx.doi.org/10.1007/978-3-7908-1709-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35039 Compstat 2006 - Proceedings in Computational Statistics : 17th Symposium Held in Rome, Italy, 2006 [documento electrónico] / SpringerLink (Online service) ; Rizzi, Alfredo ; Maurizio Vichi . - Heidelberg : Physica-Verlag HD, 2006 . - XXV, 537 p : online resource.
ISBN : 978-3-7908-1709-6
Idioma : Inglés (eng)
Palabras clave: Mathematics Mathematical statistics Database management Information storage and retrieval Computer software Probabilities Statistics Probability Theory Stochastic Processes Software Management Computing/Statistics Programs Storage Retrieval in Science Clasificación: 51 Matemáticas Resumen: International Association for Statistical Computing The International Association for Statistical Computing (IASC) is a Section of the International Statistical Institute. The objectives of the Association are to foster world-wide interest in e?ective statistical computing and to - change technical knowledge through international contacts and meetings - tween statisticians, computing professionals, organizations, institutions, g- ernments and the general public. The IASC organises its own Conferences, IASC World Conferences, and COMPSTAT in Europe. The 17th Conference of ERS-IASC, the biennial meeting of European - gional Section of the IASC was held in Rome August 28 - September 1, 2006. This conference took place in Rome exactly 20 years after the 7th COMP- STAT symposium which was held in Rome, in 1986. Previous COMPSTAT conferences were held in: Vienna (Austria, 1974); West-Berlin (Germany, 1976); Leiden (The Netherlands, 1978); Edimbourgh (UK, 1980); Toulouse (France, 1982); Prague (Czechoslovakia, 1984); Rome (Italy, 1986); Copenhagen (Denmark, 1988); Dubrovnik (Yugoslavia, 1990); Neuch atel (Switzerland, 1992); Vienna (Austria,1994); Barcelona (Spain, 1996);Bristol(UK,1998);Utrecht(TheNetherlands,2000);Berlin(Germany, 2002); Prague (Czech Republic, 2004) Nota de contenido: Classification and Clustering -- Issues of robustness and high dimensionality in cluster analysis -- Fuzzy K-medoids clustering models for fuzzy multivariate time trajectories -- Bootstrap methods for measuring classification uncertainty in latent class analysis -- A robust linear grouping algorithm -- Computing and using the deviance with classification trees -- Estimation procedures for the false discovery rate: a systematic comparison for microarray data -- A unifying model for biclustering -- Image Analysis and Signal Processing -- Non-rigid image registration using mutual information -- Musical audio analysis using sparse representations -- Robust correspondence recognition for computer vision -- Blind superresolution -- Analysis of Music Time Series -- Data Visualization -- Tying up the loose ends in simple, multiple, joint correspondence analysis -- 3 dimensional parallel coordinates plot and its use for variable selection -- Geospatial distribution of alcohol-related violence in Northern Virginia -- Visualization in comparative music research -- Exploratory modelling analysis: visualizing the value of variables -- Density estimation from streaming data using wavelets -- Multivariate Analysis -- Reducing conservatism of exact small-sample methods of inference for discrete data -- Symbolic data analysis: what is it? -- A dimensional reduction method for ordinal three-way contingency table -- Operator related to a data matrix: a survey -- Factor interval data analysis and its application -- Identifying excessively rounded or truncated data -- Statistical inference and data mining: false discoveries control -- Is ‘Which model . . .?’ the right question? -- Use of latent class regression models with a random intercept to remove the effects of the overall response rating level -- Discrete functional data analysis -- Self organizing MAPS: understanding, measuring and reducing variability -- Parameterization and estimation of path models for categorical data -- Latent class model with two latent variables for analysis of count data -- Web Based Teaching -- Challenges concerning web data mining -- e-Learning statistics — a selective review -- Quality assurance of web based e-Learning for statistical education -- Algorithms -- Genetic algorithms for building double threshold generalized autoregressive conditional heteroscedastic models of time series -- Nonparametric evaluation of matching noise -- Subset selection algorithm based on mutual information -- Visiting near-optimal solutions using local search algorithms -- The convergence of optimization based GARCH estimators: theory and application -- The stochastics of threshold accepting: analysis of an application to the uniform design problem -- Robustness -- Robust classification with categorical variables -- Multiple group linear discriminant analysis: robustness and error rate En línea: http://dx.doi.org/10.1007/978-3-7908-1709-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35039 Ejemplares
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Título : Data Analysis, Classification and the Forward Search : Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Parma, June 6–8, 2005 Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Sergio Zani ; Andrea Cerioli ; Riani, Marco ; Maurizio Vichi Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2006 Colección: Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814 Número de páginas: VIII, 426 p Il.: online resource ISBN/ISSN/DL: 978-3-540-35978-4 Idioma : Inglés (eng) Palabras clave: Culture Study and teaching Library science Information technology Business Data processing structures (Computer science) Mathematical statistics Statistics Cultural Media Studies Science Statistical Theory Methods Probability in Computer IT Structures, Cryptology Clasificación: 51 Matemáticas Resumen: This volume contains revised versions of selected papers presented at the biennial meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, which was held in Parma, June 6-8, 2005. Sergio Zani chaired the Scientific Programme Committee and Andrea Cerioli chaired the Local Organizing Committee. The scientific programme of the conference included 127 papers, 42 in spe cialized sessions, 68 in contributed paper sessions and 17 in poster sessions. Moreover, it was possible to recruit five notable and internationally renowned invited speakers (including the 2004-2005 President of the International Fed eration of Classification Societies) for plenary talks on their current research work. Among the specialized sessions, two were organized by Wolfgang Gaul with five talks by members of the GfKl (German Classification Society), and one by Jacqueline J. Meulman (Dutch/Flemish Classification Society). Thus, the conference provided a large number of scientists and experts from home and abroad with an attractive forum for discussion and mutual exchange of knowledge. The topics of all plenary and specialized sessions were chosen to fit, in the broadest possible sense, the mission of CLADAG, the aim of which is "to further methodological, computational and applied research within the fields of Classification, Data Analysis and Multivariate Statistics". A peer-review refereeing process led to the selection of 46 extended papers, which are contained in this book Nota de contenido: Clustering and Discrimination -- Genetic Algorithms-based Approaches for Clustering Time Series -- On the Choice of the Kernel Function in Kernel Discriminant Analysis Using Information Complexity -- Growing Clustering Algorithms in Market Segmentation: Defining Target Groups and Related Marketing Communication -- Graphical Representation of Functional Clusters and MDS Configurations -- Estimation of the Structural Mean of a Sample of Curves by Dynamic Time Warping -- Sequential Decisional Discriminant Analysis -- Regularized Sliced Inverse Regression with Applications in Classification -- Multidimensional Data Analysis and Multivariate Statistics -- Approaches to Asymmetric Multidimensional Scaling with External Information -- Variable Architecture Bayesian Neural Networks: Model Selection Based on EMC -- Missing Data in Optimal Scaling -- Simple Component Analysis Based on RV Coefficient -- Baum-Eagon Inequality in Probabilistic Labeling Problems -- Monotone Constrained EM Algorithms for Multinormal Mixture Models -- Visualizing Dependence of Bootstrap Confidence Intervals for Methods Yielding Spatial Configurations -- Automatic Discount Selection for Exponential Family State-Space Models -- A Generalization of the Polychoric Correlation Coefficient -- The Effects of MEP Distributed Random Effects on Variance Component Estimation in Multilevel Models -- Calibration Confidence Regions Using Empirical Likelihood -- Robust Methods and the Forward Search -- Random Start Forward Searches with Envelopes for Detecting Clusters in Multivariate Data -- Robust Transformation of Proportions Using the Forward Search -- The Forward Search Method Applied to Geodetic Transformations -- An R Package for the Forward Analysis of Multivariate Data -- A Forward Search Method for Robust Generalised Procrustes Analysis -- A Projection Method for Robust Estimation and Clustering in Large Data Sets -- Robust Multivariate Calibration -- Data Mining Methods and Software -- Procrustes Techniques for Text Mining -- Building Recommendations from Random Walks on Library OPAC Usage Data -- A Software Tool via Web for the Statistical Data Analysis: R-php -- Evolutionary Algorithms for Classification and Regression Trees -- Variable Selection Using Random Forests -- Boosted Incremental Tree-based Imputation of Missing Data -- Sensitivity of Attributes on the Performance of Attribute-Aware Collaborative Filtering -- Multivariate Methods for Customer Satisfaction and Service Evaluation -- Customer Satisfaction Evaluation: An Approach Based on Simultaneous Diagonalization -- Analyzing Evaluation Data: Modelling and Testing for Homogeneity -- Archetypal Analysis for Data Driven Benchmarking -- Determinants of Secondary School Dropping Out: a Structural Equation Model -- Testing Procedures for Multilevel Models with Administrative Data -- Multidimensional Versus Unidimensional Models for Ability Testing -- Multivariate Methods in Applied Science -- A Spatial Mixed Model for Sectorial Labour Market Data -- The Impact of the New Labour Force Survey on the Employed Classification -- Using CATPCA to Evaluate Market Regulation -- Credit Risk Management Through Robust Generalized Linear Models -- Classification of Financial Returns According to Thresholds Exceedances -- Nonparametric Clustering of Seismic Events -- A Non-Homogeneous Poisson Based Model for Daily Rainfall Data -- A Comparison of Data Mining Methods and Logistic Regression to Determine Factors Associated with Death Following Injury En línea: http://dx.doi.org/10.1007/3-540-35978-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34990 Data Analysis, Classification and the Forward Search : Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Parma, June 6–8, 2005 [documento electrónico] / SpringerLink (Online service) ; Sergio Zani ; Andrea Cerioli ; Riani, Marco ; Maurizio Vichi . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2006 . - VIII, 426 p : online resource. - (Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814) .
ISBN : 978-3-540-35978-4
Idioma : Inglés (eng)
Palabras clave: Culture Study and teaching Library science Information technology Business Data processing structures (Computer science) Mathematical statistics Statistics Cultural Media Studies Science Statistical Theory Methods Probability in Computer IT Structures, Cryptology Clasificación: 51 Matemáticas Resumen: This volume contains revised versions of selected papers presented at the biennial meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, which was held in Parma, June 6-8, 2005. Sergio Zani chaired the Scientific Programme Committee and Andrea Cerioli chaired the Local Organizing Committee. The scientific programme of the conference included 127 papers, 42 in spe cialized sessions, 68 in contributed paper sessions and 17 in poster sessions. Moreover, it was possible to recruit five notable and internationally renowned invited speakers (including the 2004-2005 President of the International Fed eration of Classification Societies) for plenary talks on their current research work. Among the specialized sessions, two were organized by Wolfgang Gaul with five talks by members of the GfKl (German Classification Society), and one by Jacqueline J. Meulman (Dutch/Flemish Classification Society). Thus, the conference provided a large number of scientists and experts from home and abroad with an attractive forum for discussion and mutual exchange of knowledge. The topics of all plenary and specialized sessions were chosen to fit, in the broadest possible sense, the mission of CLADAG, the aim of which is "to further methodological, computational and applied research within the fields of Classification, Data Analysis and Multivariate Statistics". A peer-review refereeing process led to the selection of 46 extended papers, which are contained in this book Nota de contenido: Clustering and Discrimination -- Genetic Algorithms-based Approaches for Clustering Time Series -- On the Choice of the Kernel Function in Kernel Discriminant Analysis Using Information Complexity -- Growing Clustering Algorithms in Market Segmentation: Defining Target Groups and Related Marketing Communication -- Graphical Representation of Functional Clusters and MDS Configurations -- Estimation of the Structural Mean of a Sample of Curves by Dynamic Time Warping -- Sequential Decisional Discriminant Analysis -- Regularized Sliced Inverse Regression with Applications in Classification -- Multidimensional Data Analysis and Multivariate Statistics -- Approaches to Asymmetric Multidimensional Scaling with External Information -- Variable Architecture Bayesian Neural Networks: Model Selection Based on EMC -- Missing Data in Optimal Scaling -- Simple Component Analysis Based on RV Coefficient -- Baum-Eagon Inequality in Probabilistic Labeling Problems -- Monotone Constrained EM Algorithms for Multinormal Mixture Models -- Visualizing Dependence of Bootstrap Confidence Intervals for Methods Yielding Spatial Configurations -- Automatic Discount Selection for Exponential Family State-Space Models -- A Generalization of the Polychoric Correlation Coefficient -- The Effects of MEP Distributed Random Effects on Variance Component Estimation in Multilevel Models -- Calibration Confidence Regions Using Empirical Likelihood -- Robust Methods and the Forward Search -- Random Start Forward Searches with Envelopes for Detecting Clusters in Multivariate Data -- Robust Transformation of Proportions Using the Forward Search -- The Forward Search Method Applied to Geodetic Transformations -- An R Package for the Forward Analysis of Multivariate Data -- A Forward Search Method for Robust Generalised Procrustes Analysis -- A Projection Method for Robust Estimation and Clustering in Large Data Sets -- Robust Multivariate Calibration -- Data Mining Methods and Software -- Procrustes Techniques for Text Mining -- Building Recommendations from Random Walks on Library OPAC Usage Data -- A Software Tool via Web for the Statistical Data Analysis: R-php -- Evolutionary Algorithms for Classification and Regression Trees -- Variable Selection Using Random Forests -- Boosted Incremental Tree-based Imputation of Missing Data -- Sensitivity of Attributes on the Performance of Attribute-Aware Collaborative Filtering -- Multivariate Methods for Customer Satisfaction and Service Evaluation -- Customer Satisfaction Evaluation: An Approach Based on Simultaneous Diagonalization -- Analyzing Evaluation Data: Modelling and Testing for Homogeneity -- Archetypal Analysis for Data Driven Benchmarking -- Determinants of Secondary School Dropping Out: a Structural Equation Model -- Testing Procedures for Multilevel Models with Administrative Data -- Multidimensional Versus Unidimensional Models for Ability Testing -- Multivariate Methods in Applied Science -- A Spatial Mixed Model for Sectorial Labour Market Data -- The Impact of the New Labour Force Survey on the Employed Classification -- Using CATPCA to Evaluate Market Regulation -- Credit Risk Management Through Robust Generalized Linear Models -- Classification of Financial Returns According to Thresholds Exceedances -- Nonparametric Clustering of Seismic Events -- A Non-Homogeneous Poisson Based Model for Daily Rainfall Data -- A Comparison of Data Mining Methods and Logistic Regression to Determine Factors Associated with Death Following Injury En línea: http://dx.doi.org/10.1007/3-540-35978-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34990 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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