Boro Jakimovski

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Over the period of six years and three phases, the SEE-GRID programme has established a strong regional human network in the area of distributed scientific computing and has set up a powerful regional Grid infrastructure. It attracted a number of user communities and applications from diverse fields from countries throughout the SouthEastern Europe. From(More)
Frequently changing business requirements result not only in changesto the data warehouse (DW) workload but also in changes to the schemastructure. These schema changes introduce new DW versions and so theproblem of optimization of all of its versions becomes a very challengingone.In this paper we present a new approach for dynamically evolving thedesign of(More)
Nowadays, companies collect data at an increasingly high rate to the extent that traditional implementation of algorithms cannot cope with it in reasonable time. On the other hand, analysis of the available data is a key to the business success. In a Big Data setting tasks like feature selection, finding discretization thresholds of continuous data,(More)
In this paper we present improvement of the performance of Grid Direct Acyclic Graph (DAG) workflow genetic algorithm by harnessing the power of High Level Petri-Nets workflow model. Genetic Algorithms are very powerful optimization technique that is easily parallelized using different approaches which makes it ideal for the Grid. The High Level Petri-Net(More)
Healthcare informatics has gained importance over the last several years. E-health systems on a national level have already been implemented in most European countries. Data generated by these systems are used to improve healthcare policies as well as health services. In this paper we present the system MojTermin (MyAppointment), as it evolves from a(More)