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Classification, (Big) Data Analysis and Statistical Learning

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Cover of 'Classification, (Big) Data Analysis and Statistical Learning'

Table of Contents

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    Book Overview
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    Chapter 1 From Big Data to Information: Statistical Issues Through a Case Study
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    Chapter 2 Enhancing Big Data Exploration with Faceted Browsing
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    Chapter 3 Big Data Meet Pharmaceutical Industry: An Application on Social Media Data
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    Chapter 4 Electre Tri Machine Learning Approach to the Record Linkage
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    Chapter 5 Finite Sample Behavior of MLE in Network Autocorrelation Models
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    Chapter 6 Network Analysis Methods for Classification of Roles
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    Chapter 7 MCA-Based Community Detection
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    Chapter 8 Rank Properties for Centred Three-Way Arrays
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    Chapter 9 Principal Component Analysis of Complex Data and Application to Climatology
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    Chapter 10 Motivations and Expectations of Students’ Mobility Abroad: A Mapping Technique
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    Chapter 11 Testing Circular Antipodal Symmetry Through Data Depths
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    Chapter 12 Multivariate Stochastic Downscaling for Semicontinuous Data
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    Chapter 13 Exploring Italian Students’ Performances in the SNV Test: A Quantile Regression Perspective
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    Chapter 14 Estimating the Effect of Prenatal Care on Birth Outcomes
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    Chapter 15 Clustering Upper Level Units in Multilevel Models for Ordinal Data
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    Chapter 16 Clustering Macroseismic Fields by Statistical Data Depth Functions
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    Chapter 17 Comparison of Cluster Analysis Approaches for Binary Data
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    Chapter 18 Classification Models as Tools of Bankruptcy Prediction—Polish Experience
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    Chapter 19 Quality of Classification Approaches for the Quantitative Analysis of International Conflict
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    Chapter 20 P-Splines Based Clustering as a General Framework: Some Applications Using Different Clustering Algorithms
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    Chapter 21 Comparing Multistep Ahead Forecasting Functions for Time Series Clustering
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    Chapter 22 Comparing Spatial and Spatio-temporal FPCA to Impute Large Continuous Gaps in Space
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    Chapter 23 A Graphical Tool for Copula Selection Based on Tail Dependence
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    Chapter 24 Bayesian Networks for Financial Market Signals Detection
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    Chapter 25 A Multilevel Heckman Model to Investigate Financial Assets Among Older People in Europe
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    Chapter 26 Bifurcation and Sunspots in Continuous Time Optimal Model with Externalities
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Title
Classification, (Big) Data Analysis and Statistical Learning
Published by
Springer International Publishing, October 2017
DOI 10.1007/978-3-319-55708-3
ISBNs
978-3-31-955707-6, 978-3-31-955708-3
Editors

Francesco Mola, Claudio Conversano, Maurizio Vichi

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 22%
Student > Bachelor 4 17%
Professor > Associate Professor 3 13%
Student > Doctoral Student 2 9%
Student > Master 2 9%
Other 3 13%
Unknown 4 17%
Readers by discipline Count As %
Engineering 4 17%
Social Sciences 3 13%
Business, Management and Accounting 2 9%
Economics, Econometrics and Finance 2 9%
Computer Science 2 9%
Other 5 22%
Unknown 5 22%