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Herausgeber: 
  • Matilde Bini
  • Rosanna Verde
  • Lucio Masserini
  • Antonio Balzanella
  • Advanced Methods in Statistics, Data Science and Related Applications: SIS 2022, Caserta, Italy, June 22-24 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Oktober 2024  
    Genre:  EDV / Informatik 
     
    BigDataQuality / CompositeIndicatorsandStatisticalSocialStudies / DataAnalysisandClassificationmethods / Datenbanken / Datenmanagement / MachineandStatisticalLearningtechniques / SpatialandTemporalexploratoryanalysis
    ISBN:  9783031656989 
    EAN-Code: 
    9783031656989 
    Verlag:  Springer 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 241 mm / B 160 mm / D 23 mm 
    Gewicht:  738 gr 
    Seiten:  340 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book contains a selection of the improved contributions submitted by participants at the conference of the Italian Statistical Society - SIS 2022 held in Caserta 22-24 June 2022. The scientific community of Italian statistics, which gathers around the SIS, is paying particular attention to the development of statistical techniques increasingly oriented toward the processing of large data, mainly, of complex data. The main goal is to provide the analysis of the data and the interpretability of the obtained results, with a view to decision support and the reliability of the data outcomes. The aim of this volume is to show some of the most relevant contributions of statistical and data analysis methods in preserving the quality of the information to be processed, especially when it comes from different, often non-official sources; as well as in the extraction of knowledge from complex data (textual, network, unstructured and multivalue) and in the explicability of results. Data Science today represents a broad domain of knowledge development from data, where statistical and data analysis methods can make an important contribution in the different domains where data management and processing are required. This volume is addressed to researchers but also to Ph.D. and MSc students in the field of Statistics and Data Science to acquaint them with some of the most recent developments towards which statistical research is orienting, in prevalence in Italy.

      



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