rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Classification, (Big) Data Analysis and Statistical Learning
  name:
    name part: Mola, Francesco.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Conversano, Claudio.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Vichi, Maurizio.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 242 p. 65 illus., 21 illus. in color. online resource.
  abstract: 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 networks. It covers both methodological aspects as well as applications to a wide range of areas such as economics, marketing, education, social sciences, medicine, environmental sciences and the pharmaceutical industry. In addition, it describes the basic features of the software behind the data analysis results, and provides links to the corresponding codes and data sets where necessary. This book is intended for researchers and practitioners who are interested in the latest developments and applications in the field. The peer-reviewed contributions were presented at the 10th Scientific Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, held in Santa Margherita di Pula (Cagliari), Italy, October 8-10, 2015.
  table of 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 d…
  note: edited by Francesco Mola, Claudio Conversano, Maurizio Vichi.
  subject:
    topic: Statistics
  subject:
    topic: Data mining
  subject:
    topic: Big data
  subject:
    topic: Statistical Theory and Methods
  subject:
    topic: Statistics and Computing/Statistics Programs
  subject:
    topic: Statistics for Business, Management, Economics, Finance, Insurance
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Big Data
  classification: QA276-280
  classification: 519.5
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Classification, Data Analysis, and Knowledge Organization
  identifier: 9783319557083
  identifier: https://doi.org/10.1007/978-3-319-55708-3
  record info:
    record creation date: 180221
    record change date: 20191025142459.0
    record identifier: 978-3-319-55708-3