Statistical Models and Learning Methods for Complex Data Statistical Models and Learning Methods for Complex Data
Studies in Classification, Data Analysis, and Knowledge Organization

Statistical Models and Learning Methods for Complex Data

Giuseppe Giordano والمزيد
    • ‏129٫99 US$
    • ‏129٫99 US$

وصف الناشر

This book on statistical models and learning methods for complex data comprises a selection of peer-reviewed post-conference papers presented at the 14th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society (CLADAG 2023), held in Salerno, Italy, September 11–13, 2023. The contributions span a variety of topics, including different approaches to clustering and classification, multidimensional data analysis, panel data, social networks, time series, statistical inference, and mixture models. These methodologies are applied to a range of empirical domains such as economics, finance, hydrology, the social sciences, education, and sports.

Organized biennially by international scientific committees, the CLADAG meetings advance methodological research in multivariate statistics, with a strong focus on data analysis and classification. They facilitate the exchange of ideas in these fields and promote the dissemination of concepts, numerical methods, algorithms, and computational and applied results.

Chapter "Identification of misogynistic accounts on Twitter through Graph Convolutional Networks" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

النوع
كمبيوتر وإنترنت
تاريخ النشر
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٣٠ سبتمبر
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer Nature Switzerland
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Aziende contese Aziende contese
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AIIA 2022: Biosystems Engineering Towards the Green Deal AIIA 2022: Biosystems Engineering Towards the Green Deal
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DIARIO DAL CAUCASO - viaggio alla scoperta di un territorio leggendario DIARIO DAL CAUCASO - viaggio alla scoperta di un territorio leggendario
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Data Science Data Science
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Challenges at the Interface of Data Analysis, Computer Science, and Optimization Challenges at the Interface of Data Analysis, Computer Science, and Optimization
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Supervised and Unsupervised Statistical Data Analysis Supervised and Unsupervised Statistical Data Analysis
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Recent Trends and Future Challenges in Learning from Data Recent Trends and Future Challenges in Learning from Data
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Statistical Models and Methods for Data Science Statistical Models and Methods for Data Science
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Modern Classification and Data Analysis Modern Classification and Data Analysis
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