Statystyka i diagnostyka ekonomiczna
In: Prace naukowe Akademii Ekonomicznej imienia Oskara Langego we Wrocławiu 636
15 Ergebnisse
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In: Prace naukowe Akademii Ekonomicznej imienia Oskara Langego we Wrocławiu 636
In: Prace naukowe Akademii Ekonomicznej imienia Oskara Langego we Wrocławiu 658
In: Prace naukowe Akademii Ekonomicznej imienia Oskara Langego we Wrocławiu 524
In: Prace naukowe Akademii Ekonomicznej imienia Oskara Langego we Wrocławiu 487
In: Prace naukowe Akademii Ekonomicznej imienia Oskara Langego we Wrocławiu 447
In: Wiadomości statystyczne / Glówny Urza̜d Statystyczny, Polskie Towarzystwo Statystyczne: czasopismo Głównego Urze̜du Statystycznego i Polskiego Towarzystwa = The Polish statistician, Band 64, Heft 12, S. 7-26
ISSN: 2543-8476
The aim of the paper is to measure the scope and degree of differences in the situation of young people in the labour market in the border regions of Poland, the Czech Republic and Germany in 2010 and 2018, using six metric variables. For the purpose of the study, a hybrid approach was adopted, which involved carrying out linear ordering of the studied regions on the basis of the results of multidimensional scaling. The synthetic assessment of the changes in the situation of young people in the labour market in border regions was performed using the aggregate measure and Theil's decomposition. The study was based on data from Eurostat's REGIO database. It demonstrated that the situation of young people in the labour market in all the examined regions had significantly improved in the studied period. It also showed that Polish border regions, in addition to being significantly diversified in this respect, are in a worse situation than their German or Czech counterparts, but overall, the interregional disproportions among the countries shrank in the analysed period.
In: Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu, Heft 468, S. 13-19
ISSN: 2392-0041
In: Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu, Band 331
ISSN: 1899-3192
In: Studies in Classification, Data Analysis, and Knowledge Organization Series
Intro -- Preface -- Contents -- About the Editors -- Methods -- Fuzzy Cognitive Maps as a Toll for Structuring New Research Problems -- 1 Introduction -- 2 Factors Decisive in the Choice and Development of Smart Specialisations-a Literature Review -- 3 Stages of Structuring the Research Problem with the Use of Fuzzy Cognitive Maps -- 4 Research Results -- 5 Discussion and Conclusions -- References -- Identification of Key Concerns and Sentiments Towards Data Quality and Data Strategy Challenges Using Sentiment Analysis and Topic Modeling -- 1 Introduction -- 2 Literature Study -- 3 Experiments Description -- 3.1 Data Extraction -- 3.2 Texts' Preprocessing -- 3.3 Sentiment Analysis and Topic Modelling -- 4 Results -- 5 Conclusion -- References -- Survival Trees and Direct Adjusted Survival Curves-Prediction of Survival Probabilities -- 1 Introduction -- 2 Theoretical Backgrounds -- 3 Empirical Examples -- 3.1 Data -- 3.2 Survival Trees -- 3.3 Survival Function Estimation -- 4 Summary and Conclusions -- References -- A Measure of Cluster Stability in Dynamic Cluster Analysis -- 1 Introduction -- 2 Method -- 3 Distribution of CS* -- 4 Examples -- 5 Conclusions -- References -- Outlier Identification for Symbolic Data with the Application of the DBSCAN Algorithm -- 1 Introduction -- 2 DBSCAN Ensemble for Symbolic Data -- 3 Simulations and Their Results -- 4 Final Remarks -- References -- An Optimized Selection of Statistical Disclosure Control Methods-A Case Study Involving Microdata from the Polish Survey of Accidents at Work -- 1 Introduction -- 2 Statistical Disclosure Control-Basic Concepts -- 3 The SDC Process in the Survey of Accidents at Work -- 4 Results of the SDC Process -- 5 Final Conclusions -- References -- Applications in Finance.
In: Studies in Classification, Data Analysis, and Knowledge Organization Ser.
Intro -- Preface -- Contents -- About the Editors -- Methodology -- 1 Evaluation of Two-Step Spectral Clustering Algorithm for Large Untypical Data Sets -- Abstract -- 1 Introduction -- 2 Limitations of Large Data Sets Classification -- 3 Proposal of New Algorithm -- 4 Simulation Experiment Results -- 5 Final Remarks and Conclusions -- References -- 2 Determining the Number of Groups in Cluster Analysis Using Classical Indexes and Stability Measures-Comparison of Results -- Abstract -- 1 Introduction -- 2 Measures of Cluster Stability -- 2.1 Ben-Hur and Guyon Stability Measure -- 2.2 Brock, Pihur, Datta, and Datta Stability Measure -- 2.3 Fang and Wang Stability Measure -- 3 A Data Set and the Scheme of Research -- 4 Empirical Results -- 4.1 Results for the Social Domain -- 4.2 Results for the Economic Domain -- 4.3 Results for the Environmental Domain -- 4.4 Results for the Institutional and Political Domain -- 5 Conclusions -- References -- 3 Identification of the Words Most Frequently Used by Different Generations of Twitter Users -- Abstract -- 1 Theory of Generations -- 2 Analysis of the Textual Data from the Social Network -- 2.1 Preparation of Text Data -- 2.2 Word Frequency Analysis -- 2.3 N-Gram Analysis -- 2.4 Agglomeration Methods of Hierarchical Clustering and Quality Assessment of Group Structure -- 3 Applications and Results -- 3.1 Twitter User Analysis -- 3.2 Analysis of the Words Occurring Most Commonly -- 3.3 Bigrams and Trigrams -- 4 Conclusion -- References -- 4 Classification Algorithms Applications for Information Security on the Internet: A Review -- Abstract -- 1 Introduction -- 2 Information Security -- 2.1 Cybersecurity Incidents Classification Taxonomy -- 2.2 Application on the Real Data -- 3 Methodology -- 4 Application of Classification Algorithms to Information Security -- 4.1 Popular Classification Algorithms.
In: Studies in classification, data analysis, and knowledge organization
In: Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu, Heft 384
ISSN: 2392-0041
In: PRACE NAUKOWE UNIWERSYTETU EKONOMICZNEGO WE WROCŁAWIU, Heft 507, S. 39-52
ISSN: 2392-0041
In: European research studies, Band XXIV, Heft Special Issue 3, S. 691-707
ISSN: 1108-2976
In: Studies in classification, data analysis, and knowledge organization
This volume presents a selection of peer-reviewed papers that address the latest developments in the methodology and applications of data analysis and classification tools to micro- and macroeconomic problems. The contributions were originally presented at the 30th Conference of the Section on Classification and Data Analysis of the Polish Statistical Association, SKAD 2021, held online in Poznan, Poland, September 810, 2021. Providing a balance between methodological and empirical studies, and covering a wide range of topics, the book is divided into five parts focusing on methods and applications in finance, economics, social issues and to COVID-19 data. The book is aimed at a wide audience, including researchers at universities and research institutions, PhD students, as well as practitioners, data scientists and employees in public statistical institutions.