Classification, (Big) Data Analysis and Statistical Learning [electronic resource] edited by Francesco Mola, Claudio Conversano, Maurizio Vichi.
This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of large datasets, big data analytics, time series clustering, integration of data from different sources, as well as social ne...
| Uniform Title: | Studies in Classification, Data Analysis, and Knowledge Organization,
2198-3321 |
|---|---|
| Corporate Author: | |
| Other Authors: | |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
|
| Edition: | 1st ed. 2018. |
| Series: | Studies in Classification, Data Analysis, and Knowledge Organization,
|
| Subjects: | |
| Online Access: | |
| Format: | Electronic eBook |
Contents:
- Rank Properties for Centred Three-way Arrays – C. Albers (Univ. of Groningen) et al
- Principal Component Analysis of Complex Data and Application to Climatology – S. Camiz (La Sapienza Univ. of Rome) et al
- Clustering upper level units in multilevel models for ordinal data – L. Grilli (Univ. of Florence) et al
- A Multilevel Heckman Model To Investigate Financial Assets Among Old People In Europe – O. Paccagnella (univ. of Padua) et al
- Multivariate stochastic downscaling with semicontinuous data – L. Paci (univ. of Bologna) et al
- Motivations and expectations of students’ mobility abroad: a mapping technique – V. Caviezel (Univ. of Bergamo) et al
- Comparing multi-step ahead forecasting functions for time series clustering – M. Corduas (Univ. of Naples Federico II) et al
- Electre Tri-Machine Learning Approach to the Record Linkage – V. Minnetti (La Sapienza Univ. of Rome) et al
- . MCA Based Community Detection – C. Drago (Univ. of Rome Niccolò Cusano)
- Classi fying social roles by network structures – S. Gozzo (univ. of Catania) et al
- Bayesian Networks For Financial Markets Signals Detection – A. Greppi (univ.of Pavia) et al
- Finite sample behaviour of MLE in network autocorrelation models – M. La Rocca (Univ. of Salerno) et al
- Classification Models as Tools of Bankruptcy Prediction – Polish Experience – J. Pochiecha (Cracow university) et al
- Clustering macroseismic fields by statistical data depth functions – C. Agostinelli (Univ. of Trento)
- Depth based tests for circular antipodal symmetry – G. Pandolfo (Univ. of Cassino) et al
- Estimating The Effect Of Prenatal Care On Birth Outcomes – E. Sironi (Sacro Cuore University) et al
- Bifurcations And Sunspots In Continuous Time Optimal Models With Externalities – B.Venturi (Univ. of Cagliari) et al
- Enhancing Big Data Exploration with Faceted Browsing – S. Bergamaschi (Univ. of Modena and Reggio Emilia) et al
- Big data meet pharmaceutical industry: an application on social media data – C. Liberati (Univ. of Milan Bicocca) et al
- From Big Data to information: statistical issues through a case study – S. Signorelli (Univ. of Bergamo) et al
- Quality of Classification approaches for the quantitative analysis of international conflict – A.F.X. Wilhelm (Jacobs Univ. Bremen)
- P-splines based clustering as a general framework: some applications using different clustering algorithms – C. Iorio (Univ. of Naples Federico II) et al
- A graphical copula-based tool for detecting tail dependence – R. Pappadà (univ. of Trieste) et al
- Comparing spatial and spatio-temporal FPCA to impute large continuous gaps in space – M. Ruggeri (Univ. of Palermo) et al
- Exploring Italian students’ performances in the SNV test: a quantile regression perspective – A. Costanzo (National Institute for the Evaluation of Education and Training – INVALSI) et al. .