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Analiza struktury zależności w tablicach kontyngencji za pomocą modeli logarytmiczno-liniowych

100%
Sarama M.
Wiadomości Statystyczne. The Polish Statistician
|
2004
|
issue nr 5
25-37
XX
Omówiono wykorzystanie modeli logarytmiczno-liniowych do analizy tablic wielowymiarowych. Zastosowano je do analizy danych z publicznie dostępnej bazy German Credit Data. Zawiera ona informacje dotyczące 1000 wniosków kredytowych, obejmujące charakterystykę klientów i ocenę kredytu.
EN
This article concerns Log Linear models and its application to description and analysis of relationships in multidimensional contingency tables. The log-linear model and its parameters are defined. Methods and coefficients for selection and evaluation of models are presented. The theory is illustrated by an example based on database German Credit Data, data set taken from Machine Learning Database Repository, which describes good and bad bank customers.(original abstract)
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Ontologiczna reprezentacja wiedzy finansowej w systemie wspomagania decyzji

80%
Dudycz H., Korczak J., Dyczkowski M.
Studia Ekonomiczne
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2014
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vol. 199
36-45
EN
The article presents the approach to develop the financial knowledge used for the Decision Support System. The content of the knowledge is focused on essential concepts related to the management of micro, small and medium enterprises. Knowledge-based functions, not previously available in commercial systems, increase the quality, effectiveness, and efficiency of the decision making process. The Decision Support System for SME Managers contains six ontologies describing areas of Cash Flow at Risk, Comprehensive Risk Measurement, Early Warning Models, Credit Scoring, Financial Market, and General Financial Knowledge. The ontology design process and examples of topic maps and usage in financial data analysis are presented here.
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