04627nam a22005535i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001500153072001500168072002300183072001400206245017500220250001800395264006900413300006300482336002600545337002600571338003600597347002400633490008500657505125200742520115801994650002703152650001703179650004603196650001603242650001803258650002203276650003203298650004103330650003003371650003603401650002403437650002603461700007903487700008103566700008503647700007803732710003403810773002603844776003603870776003603906830008503942856004604027978-3-031-54468-2DE-He21320251030112845.0cr nn 008mamaa240809s2024    sz |    s    |||| 0|eng d  a97830315446827 a10.1007/978-3-031-54468-22doi 4aQA76.9.Q36 7aUN2bicssc 7aCOM0210002bisacsh 7aUN2thema10aRecent Trends and Future Challenges in Learning from Datah[electronic resource] /cedited by Cristina Davino, Francesco Palumbo, Adalbert F. X. Wilhelm, Hans A. Kestler.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aX, 153 p. 40 illus., 35 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aStudies in Classification, Data Analysis, and Knowledge Organization,x2198-33210 aPreface -- Building hierarchies of factors with disjoint factor analysis -- Uncertainty in Latent Trait Models and dimensionality reduction methods for complex data: an analysis of taxpayer perception on the Fiscal System -- The predictivity of access tests for university success -- Asynchronous and synchronous-asynchronous particle swarms -- The impact of the Covid-19 pandemic on modelling volatility and risk analysis of returns in selected European financial markets -- Asymmetric binary regression models for imbalanced datasets: an application to students’ churn -- Computational models supporting decision-making in managing publication activity at Polish universities -- Stability of nonparametric methods for cognitive diagnostic assessment -- SMARTS: SeMi-supervised clustering for Assessment of Reviews using Topic and Sentiment -- The equitable and sustainable wellbeing through the pandemic. A first study to assess changes at local level in Italy -- Choice-Based Optimization under High-Dimensional MNL -- A first glance on co-evolution of Boolean networks to simulate the development of cross-talking systems in molecular biology -- Classification on polish fund market during COVID-19 pandemic - extreme risk modeling approach.  aThis book collects together selected peer-reviewed contributions presented at the European Conference on Data Analysis, ECDA 2022, held in Naples, Italy, September 14-16, 2022. Highlighting the role of statistics in discovering novel and interesting patterns in the era of big data, it follows the motto of the conference: “Avoiding drowning in the data: recent trends and future challenges in learning from data”. The central focus is on multidisciplinary approaches to data analysis, classification, and the interface between computer science, data mining and statistics. Both methodological and applied topics are covered. The former includes supervised and unsupervised techniques with particular emphasis on advances in regression and clustering analysis and constructing composite indicators. The applications are mainly in risk analysis, biology, and education. The volume is organized into four main macro themes: methodological contributions in the social sciences and education, multivariate analysis methods for big data, innovative contributions for applications inspired by biology, and strategies for analyzing complex data in finance. 0aQuantitative research. 0aData mining. 0aMathematical statisticsxData processing. 0aStatistics. 0aStatistics . 0aMachine learning.14aData Analysis and Big Data.24aData Mining and Knowledge Discovery.24aStatistics and Computing.24aStatistical Theory and Methods.24aApplied Statistics.24aStatistical Learning.1 aDavino, Cristina.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aPalumbo, Francesco.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aWilhelm, Adalbert F. X.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aKestler, Hans A.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303154467508iPrinted edition:z9783031544699 0aStudies in Classification, Data Analysis, and Knowledge Organization,x2198-332140uhttps://doi.org/10.1007/978-3-031-54468-2