Recent Trends and Future Challenges in Learning from Data Recent Trends and Future Challenges in Learning from Data
Studies in Classification, Data Analysis, and Knowledge Organization

Recent Trends and Future Challenges in Learning from Data

Cristina Davino والمزيد
    • ‏119٫99 US$
    • ‏119٫99 US$

وصف الناشر

This 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.

النوع
كمبيوتر وإنترنت
تاريخ النشر
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٨ أغسطس
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.‬
Quantile Regression Quantile Regression
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Survey Data Collection and Integration Survey Data Collection and Integration
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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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Statistical Models and Learning Methods for Complex Data Statistical Models and Learning Methods for Complex Data
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Supervised and Unsupervised Statistical Data Analysis Supervised and Unsupervised Statistical Data Analysis
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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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