Studies in Classification, Data Analysis, and Knowledge Organization - Classification and Data Analysis
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Published By Springer International Publishing

9783030523473, 9783030523480

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Intuitionistic Fuzzy Synthetic Measure for Ordinal Data

Studies in Classification, Data Analysis, and Knowledge Organization - Classification and Data Analysis ◽

10.1007/978-3-030-52348-0_4 ◽

2020 ◽

pp. 53-72

Author(s):

Bartłomiej Jefmański

Keyword(s):

Ordinal Data ◽

Intuitionistic Fuzzy

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Right-Skewed Distribution of Features and the Identification Problem of the Financial Autonomy of Local Administrative Units

Studies in Classification, Data Analysis, and Knowledge Organization - Classification and Data Analysis ◽

10.1007/978-3-030-52348-0_16 ◽

2020 ◽

pp. 251-264

Author(s):

Romana Głowicka-Wołoszyn ◽

Feliks Wysocki

Keyword(s):

Identification Problem ◽

Skewed Distribution ◽

Financial Autonomy ◽

Administrative Units

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Development of ICT in Poland in Comparison with the European Union Countries—Multivariate Statistical Analysis

Studies in Classification, Data Analysis, and Knowledge Organization - Classification and Data Analysis ◽

10.1007/978-3-030-52348-0_13 ◽

2020 ◽

pp. 203-220

Author(s):

Małgorzata Misztal ◽

Aleksandra Kupis-Fijałkowska

Keyword(s):

European Union ◽

Statistical Analysis ◽

Multivariate Statistical Analysis ◽

The European Union ◽

Multivariate Statistical ◽

European Union Countries

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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

Studies in Classification, Data Analysis, and Knowledge Organization - Classification and Data Analysis ◽

10.1007/978-3-030-52348-0_8 ◽

2020 ◽

pp. 115-128

Author(s):

Artur Mikulec ◽

Małgorzata Misztal

Keyword(s):

Legal Personality ◽

Survival Trees

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Application of Hill Estimator to Assess Extreme Risks in the Metals Market

Studies in Classification, Data Analysis, and Knowledge Organization - Classification and Data Analysis ◽

10.1007/978-3-030-52348-0_7 ◽

2020 ◽

pp. 103-113

Author(s):

Dominik Krężołek

Keyword(s):

Hill Estimator ◽

Extreme Risks

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Inequality Restricted Least Squares (IRLS) Model of Real Estate Prices

Studies in Classification, Data Analysis, and Knowledge Organization - Classification and Data Analysis ◽

10.1007/978-3-030-52348-0_6 ◽

2020 ◽

pp. 87-101

Author(s):

Mariusz Doszyń

Keyword(s):

Real Estate ◽

Least Squares ◽

Real Estate Prices

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The Role of Discretization of Continuous Variables in Socioeconomic Classification Models on the Example of Logistic Regression Models and Artificial Neural Networks

Studies in Classification, Data Analysis, and Knowledge Organization - Classification and Data Analysis ◽

10.1007/978-3-030-52348-0_3 ◽

2020 ◽

pp. 35-51

Author(s):

Wioletta Grzenda

Keyword(s):

Neural Networks ◽

Logistic Regression ◽

Artificial Neural Networks ◽

Regression Models ◽

Continuous Variables ◽

Classification Models ◽

Logistic Regression Models ◽

Artificial Neural

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Sustainable Development and Green Economy in the European Union Countries—Statistical Analysis

Studies in Classification, Data Analysis, and Knowledge Organization - Classification and Data Analysis ◽

10.1007/978-3-030-52348-0_11 ◽

2020 ◽

pp. 163-185

Author(s):

Katarzyna Cheba ◽

Iwona Bąk

Keyword(s):

European Union ◽

Sustainable Development ◽

Statistical Analysis ◽

Green Economy ◽

The European Union ◽

European Union Countries

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Improving Classification Accuracy of Ensemble Learning for Symbolic Data Trough Neural Networks’ Feature Extraction

Studies in Classification, Data Analysis, and Knowledge Organization - Classification and Data Analysis ◽

10.1007/978-3-030-52348-0_5 ◽

2020 ◽

pp. 73-84

Author(s):

Marcin Pełka

Keyword(s):

Neural Networks ◽

Feature Extraction ◽

Ensemble Learning ◽

Classification Accuracy ◽

Symbolic Data

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Prentice–Williams–Peterson Models in the Assessment of the Influence of the Characteristics of the Unemployed on the Intensity of Subsequent Registrations in the Labour Office

Studies in Classification, Data Analysis, and Knowledge Organization - Classification and Data Analysis ◽

10.1007/978-3-030-52348-0_15 ◽

2020 ◽

pp. 237-250

Author(s):

Beata Bieszk-Stolorz

Keyword(s):

The Unemployed

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Studies in Classification, Data Analysis, and Knowledge Organization - Classification and Data AnalysisLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Intuitionistic Fuzzy Synthetic Measure for Ordinal Data

Right-Skewed Distribution of Features and the Identification Problem of the Financial Autonomy of Local Administrative Units

Development of ICT in Poland in Comparison with the European Union Countries—Multivariate Statistical Analysis

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

Application of Hill Estimator to Assess Extreme Risks in the Metals Market

Inequality Restricted Least Squares (IRLS) Model of Real Estate Prices

The Role of Discretization of Continuous Variables in Socioeconomic Classification Models on the Example of Logistic Regression Models and Artificial Neural Networks

Sustainable Development and Green Economy in the European Union Countries—Statistical Analysis

Improving Classification Accuracy of Ensemble Learning for Symbolic Data Trough Neural Networks’ Feature Extraction

Prentice–Williams–Peterson Models in the Assessment of the Influence of the Characteristics of the Unemployed on the Intensity of Subsequent Registrations in the Labour Office

Studies in Classification, Data Analysis, and Knowledge Organization - Classification and Data Analysis
Latest Publications