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Publications (22)
RESEARCH OBJECTIVE: The main purpose of the research is to assess whether the young generation in Poland has the potential to build sustainable companies by evaluating the attitudes of university students towards sustainable entrepreneurship.. THE RESEARCH PROBLEM AND METHODS: The readiness to create a sustainable enterprise was assessed on the bas...
The issue of optimal size of the general government sector is analyzed by researchers using various methods, most often through the prism of a specific goal. The article is an attempt to determine the optimal size of the general government sector from the perspective of EU economies. To achieve this goal, the innovative decision tree technique - th...
The aim of the paper is to diagnose the entrepreneurship competency levels among students to identify differences in competencies and their levels regarding gender, material status, and professional situation. In addition, the goal of the analysis is to indicate the competencies that need to be strengthened among individual groups of students. The...
This article is an attempt to determine the optimal size of the general government sector (GGS) from the point of view of the economies of EU countries. Achievement of this research objective implied a few intermediate objectives. Firstly, measures enabling the description of the size of the general government sector were identified. In order to do...
Numerous factors influence the development of the private healthcare sector. Therefore, the selection of these factors, which represent a potential opportunity for forming new entities, is crucial from the point of view of entrepreneurship.Main objective of research study is to determine strategic factors, which have direct impact on entrepreneursh...
Przedsiębiorczość ma kluczowe znaczenie zarówno dla wzrostu gospodarczego, jak i rozumianego wielowymiarowo rozwoju, co znalazło odzwierciedlenie w przyjmowaniu jej za jeden z czynników produkcji przez niektóre teorie. Zarówno teoretyczne, jak i empiryczne badania przedsiębiorczości świadczą o tym, że jest ona kształtowana przez wiele różnorodnych...
The article’s objective is to apply probabilistic inference in determination of the impact of the size of the general government sector on the economy and the impact of the economy on the size of the sector in EU Member States. The research indicated that 4 of 13 variables describing the size of the general government sector have a significant impa...
Mining incomplete data using approximations based on characteristic sets is a well-established technique. It is applicable to incomplete data sets with a few interpretations of missing attribute values, e.g., lost values and “do not care” conditions. Typically, probabilistic approximations are used in the process. On the other hand, maximal consist...
In this paper we study local and global definability of incomplete data sets from the view point of decision rule induction. We assume that data sets are incomplete since some attribute values are lost and some are considered as irrelevant and called “do not care” conditions. Local definability uses blocks of attribute-value pairs as basic granules...
We applied Bayesian networks to distinguish groups of countries different in terms of their level of entrepreneurship growth as measured by new business density and to find factors responsible for the differences. The objective of the article is to check the applicability of Bayesian networks in filtering variables critical for entrepreneurship and...
The article is dedicated to research on relations between size of general government sector and the economy. The aim of this article is determination of the most important values that are used to identify relations between size of the sector and the economy, as well as determination of how frequently they appear in relation to pair of the variables...
This paper shows a new method of explaining Bayesian networks by creating descriptions of their properties in a manner closer to the human perceptual abilities, i.e., decision rules in the IF...THEN form (called by us belief rules). The conversion method is based on the cause and effect analysis of the Bayesian network quantitative component (the p...
We compare four discretization methods, all based on entropy: the original C4.5 approach to discretization, two globalized methods, known as equal interval width and equal frequency per interval, and a relatively new method for discretization called multiple scanning using the C4.5 decision tree generation system. The main objective of our research...
This article is dedicated to a study of the relations between the economy and the size of the general government sector. The main aim of the article is an identification of the most important variables that are used to determine relations between the economy and size of the sector, as well as to identify frequency of their occurrences in relations...
In a Multiple Scanning discretization technique the entire attribute set is scanned many times. During every scan, the best cutpoint is selected for all attributes. The main objective of this paper is to compare the quality of two setups: the Multiple Scanning discretization technique combined with the C4.5 classification system and the internal di...
The paper presents a new strategy for noninvasive diagnosis of melanocytic skin lesions which differs from European research focused mostly on methodology of classification of tumors, description of some symptoms and pigment changes in the phase of incurable disease or in the disease requiring a surgical intervention. The new method is based on app...
That amino acid properties are responsible for the way protein molecules evolve is natural and is also reasonably well supported both by the structure of the genetic code and, to a large extent, by the experimental measures of the amino acid similarity. Nevertheless, there remains a significant gap between observed similarity matrices and their rec...
Bayesian belief networks are applied in determining the most important factors of the innovativeness level of national economies. The paper is divided into two parts. The first presentsthe basic theory of Bayesian networks whereas in the second, the belief networks have been generated by an inhouse developed computer system called BeliefSEEKER whic...
This paper contains a brief description of a new computer system for supervised machine learning, designed to generate production rules from data.
The paper is devoted to classification of laryngopathies on the basis of a family of coefficients reflecting spectrum disturbances around basic tones and their multiples in patients' speech signals. In experiments, a special computer tool called BeliefSEEKER is tested. BeliefSEEKER is capable to generate belief networks and also to generate sets of...
