Peter Bednár

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This paper describes a set of experiments with bagging – a method, which can improve results of classification algorithms. Our use of this method aims at classification algorithms generating decision trees. Results of performance tests focused on the use of the bagging method on binary decision trees are presented. The minimum number of decision trees,(More)
The paper presents an example of e-government service integration on a semantic basis, as it was designed within the Access-eGov research project and applied in the Schleswig-Holstein state government. The case study follows up the application of a requirements-driven approach for designing e-government service interfaces with respect to the informational(More)
Service-oriented computing (SOC), lately often in combination with business process modeling (BPM), is becoming reality in current enterprise systems. At the same time, process models do no longer only span different departments but more and more frequently multiple organizations. Current BPM approaches focus on syntactic specification of work flow(More)
The occurrence of various meteorological phenomena, such as fog or low cloud cover, has significant impact on many human activities as air or ship transport operations. The management of air traffic at the airports was the main reason to design effective mechanisms for timely prediction of these phenomena. In both these cases meteorologists already use some(More)
The paper describes a system prototype that is aiming at the provision of an environment for flexible project-oriented collaboration of networked enterprises, so-called virtual business alliances. The system, which was developed within the FP7 project SPIKE, employs the technology of semantically enhanced service bus, supported by underlying semantic(More)
This paper presents basic ideas and results of the GOAL 1 project fo-cusing on its knowledge discovery part. Within this project a KDD (Knowledge Discovery in Databases) package [7] has been designed and implemented. In this paper motivation, architecture, functionality and one two of the implemented DM (data mining) modules of the KDD Package are described(More)
The paper focuses on the field of automatic extraction of information from texts and text document categorisation including pre-processing of text documents , which can be found on the Internet. In the frame of the presented work, we have devoted our attention to the following issues related to text categorisa-tion: increasing the precision of(More)