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Titlebook: Information Systems Architecture and Technology: Proceedings of 40th Anniversary International Confe; Part III Zofia Wilimowska,Leszek Borz

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Branch and Bound Method in Feature Selection Process for Models of Financial Condition Evaluatione objective of the research is to determine the number features characterizing the financial risk – financial condition of companies. A quality of financial condition evaluation depends on the selection of variables (features) and criteria of the assessment. The choice of financial ratios in the stu
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Influence Threshold Margin on Value Migration Processes The analyzes were conducted based on companies listed on the Polish capital market, data from 2001–2014 were used. The dependence between the surplus of the company’s profitability and threshold margin determined according to the Rappaport formula and the assignment companies to the value migration
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GDPR Implementation in Local Government Administration in Poland and Republic of Lithuania accordance with the General Data Protection Requirements (GDPR). The Regulation specified some important obligations that should be implemented in all entities processing personal data in all sectors, including public administration offices. The aim of the article was an analysis and evaluation the
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Cognitive Modeling and Cognitive Map Applying to the Knowledge Management in the Higher Education Sy modeling of weakly structured systems to build cognitive maps of the educational process. The author’s goal is to show the possibility of using cognitive modeling and cognitive maps in the university’s knowledge management system. To build cognitive maps, the authors identified target risk factors,
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Business Model Environment in the Segment of Language Schoolsounding elements of the enterprises on the components of the business models according to the template of A. Osterwalder was assessed. The analysis covered the majority (96 – approx. 66%) of language schools in the Voivodeship. A survey consisting of 31 surrounding elements of the enterprises was pr
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Artificial Neural Networks in Forecasting Cancer Therapy Methods and Costs of Cancer Patient Treatmewo predictive models of artificial neural networks (ANNs). The paper scope also includes a statistical analysis of correlation of the ANN variables. Research shows that ANNs are a viable alternative to traditional method of estimating the cost of a cancer therapy, especially in situations of poor re
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