Ebook: Classification and Data Mining

​​​​​​​​​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".​

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?????????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".?

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?????????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".?
Content:
Front Matter....Pages i-xiv
Front Matter....Pages 1-1
Robust Random Effects Models: A Diagnostic Approach Based on the Forward Search....Pages 3-10
Joint Correspondence Analysis Versus Multiple Correspondence Analysis: A Solution to an Undetected Problem....Pages 11-18
Inference on the CUB Model: An MCMC Approach....Pages 19-26
Robustness Versus Consistency in Ill-Posed Classification and Regression Problems....Pages 27-35
Issues on Clustering and Data Gridding....Pages 37-44
Dynamic Data Analysis of Evolving Association Patterns....Pages 45-53
Classification of Data Chunks Using Proximal Vector Machines and Singular Value Decomposition....Pages 55-62
Correspondence Analysis in the Case of Outliers....Pages 63-70
Variable Selection in Cluster Analysis: An Approach Based on a New Index....Pages 71-79
A Model for the Clustering of Variables Taking into Account External Data....Pages 81-88
Calibration with Spatial Data Constraints....Pages 89-94
Front Matter....Pages 95-95
Clustering Data Streams by On-Line Proximity Updating....Pages 97-104
Summarizing and Detecting Structural Drifts from Multiple Data Streams....Pages 105-112
A Model-Based Approach for Qualitative Assessment in Opinion Mining....Pages 113-120
An Evaluation Measure for Learning from Imbalanced Data Based on Asymmetric Beta Distribution....Pages 121-129
Outlier Detection for Geostatistical Functional Data: An Application to Sensor Data....Pages 131-138
Graphical Models for Eliciting Structural Information....Pages 139-146
Adaptive Spectral Clustering in Molecular Simulation....Pages 147-154
Front Matter....Pages 155-155
Spatial Data Mining for Clustering: An Application to the Florentine Metropolitan Area Using RedCap....Pages 157-164
Misspecification Resistant Model Selection Using Information Complexity with Applications....Pages 165-172
Front Matter....Pages 155-155
A Clusterwise Regression Method for the Prediction of the Disposal Income in Municipalities....Pages 173-180
A Continuous Time Mover-Stayer Model for Labor Market in a Northern Italian Area....Pages 181-188
Model-Based Clustering of Multistate Data with Latent Change: An Application with DHS Data....Pages 189-196
An Approach to Forecasting Beanplot Time Series....Pages 197-205
Shared Components Models in Joint Disease Mapping: A Comparison....Pages 207-214
Piano and Guitar Tone Distinction Based on Extended Feature Analysis....Pages 215-224
Auralization of Auditory Models....Pages 225-232
Visualisation and Analysis of Affiliation Networks as Tools to Describe Professional Profiles....Pages 233-241
Graduation by Adaptive Discrete Beta Kernels....Pages 243-250
Modelling Spatial Variations of Fertility Rate in Italy....Pages 251-259
Visualisation of Cluster Analysis Results....Pages 261-270
The Application of M-Function Analysis to the Geographical Distribution of Earthquake Sequence....Pages 271-278
Energy Consumption – Gross Domestic Product Causal Relationship in the Italian Regions....Pages 279-286

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?????????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".?
Content:
Front Matter....Pages i-xiv
Front Matter....Pages 1-1
Robust Random Effects Models: A Diagnostic Approach Based on the Forward Search....Pages 3-10
Joint Correspondence Analysis Versus Multiple Correspondence Analysis: A Solution to an Undetected Problem....Pages 11-18
Inference on the CUB Model: An MCMC Approach....Pages 19-26
Robustness Versus Consistency in Ill-Posed Classification and Regression Problems....Pages 27-35
Issues on Clustering and Data Gridding....Pages 37-44
Dynamic Data Analysis of Evolving Association Patterns....Pages 45-53
Classification of Data Chunks Using Proximal Vector Machines and Singular Value Decomposition....Pages 55-62
Correspondence Analysis in the Case of Outliers....Pages 63-70
Variable Selection in Cluster Analysis: An Approach Based on a New Index....Pages 71-79
A Model for the Clustering of Variables Taking into Account External Data....Pages 81-88
Calibration with Spatial Data Constraints....Pages 89-94
Front Matter....Pages 95-95
Clustering Data Streams by On-Line Proximity Updating....Pages 97-104
Summarizing and Detecting Structural Drifts from Multiple Data Streams....Pages 105-112
A Model-Based Approach for Qualitative Assessment in Opinion Mining....Pages 113-120
An Evaluation Measure for Learning from Imbalanced Data Based on Asymmetric Beta Distribution....Pages 121-129
Outlier Detection for Geostatistical Functional Data: An Application to Sensor Data....Pages 131-138
Graphical Models for Eliciting Structural Information....Pages 139-146
Adaptive Spectral Clustering in Molecular Simulation....Pages 147-154
Front Matter....Pages 155-155
Spatial Data Mining for Clustering: An Application to the Florentine Metropolitan Area Using RedCap....Pages 157-164
Misspecification Resistant Model Selection Using Information Complexity with Applications....Pages 165-172
Front Matter....Pages 155-155
A Clusterwise Regression Method for the Prediction of the Disposal Income in Municipalities....Pages 173-180
A Continuous Time Mover-Stayer Model for Labor Market in a Northern Italian Area....Pages 181-188
Model-Based Clustering of Multistate Data with Latent Change: An Application with DHS Data....Pages 189-196
An Approach to Forecasting Beanplot Time Series....Pages 197-205
Shared Components Models in Joint Disease Mapping: A Comparison....Pages 207-214
Piano and Guitar Tone Distinction Based on Extended Feature Analysis....Pages 215-224
Auralization of Auditory Models....Pages 225-232
Visualisation and Analysis of Affiliation Networks as Tools to Describe Professional Profiles....Pages 233-241
Graduation by Adaptive Discrete Beta Kernels....Pages 243-250
Modelling Spatial Variations of Fertility Rate in Italy....Pages 251-259
Visualisation of Cluster Analysis Results....Pages 261-270
The Application of M-Function Analysis to the Geographical Distribution of Earthquake Sequence....Pages 271-278
Energy Consumption – Gross Domestic Product Causal Relationship in the Italian Regions....Pages 279-286
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