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Data Analysis and Classification : Proceedings of the 6th Conference of the Classification and Data Analysis Group of the Società Italiana di Statistica / edited by Francesco Palumbo, Carlo Natale Lauro, Michael J. Greenacre
Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Studies in Classification, Data Analysis, and Knowledge Organization | SpringerLink BücherPublisher: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2010Description: Online-Ressource (XXII, 482p. 109 illus, digital)ISBN:- 9783642037399
- 330.015195
- 519.5
- 519.2 23
- QA276-280
- QA276.A1
Contents:
Summary: 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.Summary: 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.PPN: PPN: 1649972326Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SXMS | ZDB-2-SMA
Data Analysis and Classification; Part I Key-note; Clustering of High-Dimensional and Correlated Data; 1 Introduction; 2 Definition of Mixture Models; 3 Maximum Likelihood Estimation; 4 Choice of Starting Values for the EM Algorithm; 5 Clustering via Normal Mixtures; 6 Factor Analysis Model for Dimension Reduction; 7 Some Recent Extensions for High-Dimensional Data; 8 Mixtures of Normal Components with Random Effects; References; Statistical Methods for Cryptography; 1 Introduction; 1.1 Different disciplines in cryptography; 2 Prime Numbers; 2.1 Tests of primality; 2.2 Deterministic tests
2.3 Some deterministic tests3 The Sum Modulo m of Statistical Variables; References; Part II Cluster Analysis; An Algorithm for Earthquakes Clustering Based on MaximumLikelihood; 1 Introduction; 2 Conditional Intensity Function of the Clustering Procedure; 2.1 The ETAS Model; 2.2 Intensity Function for a Particular ClusteredInhomogeneous Poisson Process; 3 The Proposed Clustering Method; 3.1 Finding a Candidate Cluster and Likelihood Changes; 3.2 The Algorithm of Clustering; 4 Application to a Real Catalog and Final Remarks; References
A Two-Step Iterative Procedure for Clustering of Binary Sequences1 Introduction; 2 Clustering and Dimensionality Reduction; 3 Example; References; Clustering Linear Models Using Wasserstein Distance; 1 Introduction; 2 Input Data and the Clustering Algorithm; 3 Dynamic Clustering of Linear Models; 3.1 Wasserstein Distance for Distributions; 3.2 Representation and Allocation Functions; 4 An Application Using Bank of Italy Household Survey Data; 5 Conclusions and Perspectives; References; Comparing Approaches for Clustering Mixed Mode Data: An Application in Marketing Research; 1 Introduction
2 Obtaining Partitions with Mixed Mode Data3 Some Illustrative Applications; 4 Discussion; References; The Progressive Single Linkage Algorithm Based on Minkowski Ultrametrics; 1 Introduction; 2 Ultrametric Approximations; 3 The Progressive Single Linkage Algorithm; 4 Some Applications to Real Data; 5 Conclusions; Appendix; References; Visualization of Model-Based Clustering Structures; 1 Introduction; 2 Dimension Reduction for Model-Based Clustering; 3 Visualization of Clustering Structures; 4 Examples; 4.1 Overlapping Clusters with Unconstrained Covariances
4.2 High Dimensional Mixture of Two Normal Distributions4.3 Wisconsin Diagnostic Breast Cancer Data; 5 Comments and Extensions; References; Part III Multidimensional Scaling; Models for Asymmetry in Proximity Data; 1 Introduction; 2 A Class of Scalar Product Models; 3 The Analysis of Skew-Symmetry with External Information; 4 Conclusions; References; Intimate Femicide in Italy: A Model to Classify How KillingsHappened; 1 Introduction; 2 National and International Scenario; 3 Data and Method; 4 The Main Results; References; Two-Dimensional Centrality of Asymmetric Social Network
1 Introduction
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