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Data Analysis and Classification

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Cover of 'Data Analysis and Classification'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Data Analysis and Classification
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    Chapter 2 Statistical Methods for Cryptography
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    Chapter 3 An Algorithm for Earthquakes Clustering Based on Maximum Likelihood
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    Chapter 4 A Two-Step Iterative Procedure for Clustering of Binary Sequences
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    Chapter 5 Clustering Linear Models Using Wasserstein Distance
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    Chapter 6 Comparing Approaches for Clustering Mixed Mode Data: An Application in Marketing Research
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    Chapter 7 The Progressive Single Linkage Algorithm Based on Minkowski Ultrametrics
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    Chapter 8 Visualization of Model-Based Clustering Structures
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    Chapter 9 Models for Asymmetry in Proximity Data
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    Chapter 10 Intimate Femicide in Italy: A Model to Classify How Killings Happened
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    Chapter 11 Two-Dimensional Centrality of Asymmetric Social Network
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    Chapter 12 The Forward Search for Classical Multidimensional Scaling When the Starting Data Matrix Is Known
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    Chapter 13 Discriminant Analysis on Mixed Predictors
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    Chapter 14 A Statistical Calibration Model for Affymetrix Probe Level Data
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    Chapter 15 A Proposal to Fuzzify Categorical Variables in Operational Risk Management
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    Chapter 16 Common Optimal Scaling for Customer Satisfaction Models: A Point to Cobb–Douglas’ Form
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    Chapter 17 Structural Neural Networks for Modeling Customer Satisfaction
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    Chapter 18 Dimensionality of Scores Obtained with a Paired-Comparison Tournament System of Questionnaire Items
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    Chapter 19 Using Rasch Measurement to Assess the Role of the Traditional Family in Italy
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    Chapter 20 Preserving the Clustering Structure by a Projection Pursuit Approach
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    Chapter 21 Association Rule Mining of Multimedia Content
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    Chapter 22 Automatic Dictionary- and Rule-Based Systems for Extracting Information from Text
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    Chapter 23 Several Computational Studies About Variable Selection for Probabilistic Bayesian Classifiers
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    Chapter 24 Semantic Classification and Co-occurrences: A Method for the Rules Production for the Information Extraction from Textual Data
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    Chapter 25 The Effectiveness of University Education: A Structural Equation Model
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    Chapter 26 Simultaneous Threshold Interaction Detection in Binary Classification
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    Chapter 27 Detecting Subset of Classifiers for Multi-attribute Response Prediction
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    Chapter 28 Clustering Textual Data by Latent Dirichlet Allocation: Applications and Extensions to Hierarchical Data
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    Chapter 29 Multilevel Latent Class Models for Evaluation of Long-term Care Facilities
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    Chapter 30 Author–Coauthor Social Networks and Emerging Scientific Subfields
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    Chapter 31 A Hierarchical Model for Time Dependent Multivariate Longitudinal Data
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    Chapter 32 Covariate Error Bias Effects in Dynamic Regression Model Estimation and Improvement in the Prediction by Covariate Local Clusters
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    Chapter 33 Local Multilevel Modeling for Comparisons of Institutional Performance
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    Chapter 34 Modelling Network Data: An Introduction to Exponential Random Graph Models
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    Chapter 35 An Analysis of Earthquakes Clustering Based on a Second-Order Diagnostic Approach
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    Chapter 36 Latent Regression in Rasch Framework
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    Chapter 37 A Multilevel Latent Variable Model for Multidimensional Longitudinal Data
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    Chapter 38 Turning Point Detection Using Markov Switching Models with Latent Information
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    Chapter 39 Statistical and Numerical Algorithms for Time Series Classification
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    Chapter 40 Mining Time Series Data: A Selective Survey
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    Chapter 41 Predictive Dynamic Models for SMEs
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    Chapter 42 Clustering Algorithms for Large Temporal Data Sets
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    Chapter 43 Robust Clustering for Performance Evaluation
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    Chapter 44 Outliers Detection Strategy for a Curve Clustering Algorithm
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    Chapter 45 Robust Fuzzy Classification
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    Chapter 46 Weighted Likelihood Inference for a Mixed Regressive Spatial Autoregressive Model
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    Chapter 47 Detecting Price Outliers in European Trade Data with the Forward Search
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    Chapter 48 Comparing Continuous Treatment Matching Methods in Policy Evaluation
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    Chapter 49 Temporal Aggregation and Closure of VARMA Models: Some New Results
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    Chapter 50 An Index for Ranking Financial Portfolios According to Internal Turnover
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    Chapter 51 Bayesian Hidden Markov Models for Financial Data
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    Chapter 52 Regression Imputation for Space-Time Datasets with Missing Values
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    Chapter 53 A Multiple Imputation Approach in a Survey on University Teaching Evaluation
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Title
Data Analysis and Classification
Published by
Springer, Berlin, Heidelberg, January 2010
DOI 10.1007/978-3-642-03739-9
ISBNs
978-3-64-203738-2, 978-3-64-203739-9
Editors

Francesco Palumbo, Carlo Natale Lauro, Michael J. Greenacre

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Canada 1 2%
Unknown 50 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 12%
Student > Bachelor 2 4%
Student > Doctoral Student 1 2%
Other 1 2%
Professor 1 2%
Other 3 6%
Unknown 38 73%
Readers by discipline Count As %
Engineering 5 10%
Computer Science 3 6%
Mathematics 2 4%
Earth and Planetary Sciences 2 4%
Social Sciences 1 2%
Other 0 0%
Unknown 39 75%