Classification and Data Analysis : Theory and Applications. 1st ed. 2020

種類:

電子ブック

責任表示:

edited by Krzysztof Jajuga, Jacek Batóg, Marek Walesiak

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2020

著者名:

• Jajuga, Krzysztof.
• Batóg, Jacek.
• Walesiak, Marek.
• SpringerLink (Online service)

シリーズ名:

Studies in Classification, Data Analysis, and Knowledge Organization ;

ISBN:

9783030523480 [3030523489]    

注記:

Preface -- Methods -- Comparison of proposals of transformation of nominants into stimulants on the example of financial ratios of companies listed on the Warsaw Stock Exchange -- Silhouette index as clustering evaluation tool -- The Role of Discretization of Continuous Variables in SocioEconomic Classification Models on the Example of Logistic Regression Models and Artificial Neural Networks -- Intuitionistic fuzzy synthetic measure for ordinal data -- Improving Classification Accuracy of Ensemble Learning for Symbolic Data Trough Neural Networks’ Feature Extraction -- Applications in Finance -- Inequality restricted least squares (IRLS) model of real estate prices -- Application of Hill estimator to assess extreme risks in the metals market -- Segmentation of Enterprises on the Basis of Their Duration Using Survival Trees. Results of an Analysis for Legal Persons and Organizational Entities without Legal Personality in the Łódzkie Voivodship -- Corporate Bankruptcy Prediction with the Use of the Logit Leaf
This volume gathers peer-reviewed contributions on data analysis, classification and related areas presented at the 28th Conference of the Section on Classification and Data Analysis of the Polish Statistical Association, SKAD 2019, held in Szczecin, Poland, on September 18–20, 2019. Providing a balance between theoretical and methodological contributions and empirical papers, it covers a broad variety of topics, ranging from multivariate data analysis, classification and regression, symbolic (and other) data analysis, visualization, data mining, and computer methods to composite measures, and numerous applications of data analysis methods in economics, finance and other social sciences. The book is intended for a wide audience, including researchers at universities and research institutions, graduate and doctoral students, practitioners, data scientists and employees in public statistical institutions.

ローカル注記:

学内専用E-BOOKS (local access only)