Kon-Popovska, Margita

Preferred name
Kon-Popovska, Margita
Official Name
Kon-Popovska, Margita
Main Affiliation
Email
margita.kon-popovska@finki.ukim.mk

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Now showing 1 - 6 of 6
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    Item type:Publication,
    Improvement of Data Warehouse Optimization Process by Workflow Gridification
    (Springer Berlin Heidelberg, 2008)
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    Cerepnalkoski, Darko
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    Item type:Publication,
    EHR System MojTermin: Implementation and Initial Data Analysis
    (2015)
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    Lesovski, Dragan
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    Ivanova Panova, Daniela
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    Frtunik, Dalibor
    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 healthcare appointment engine to a complete national e-health system. We also present preliminary results from data gathered during the implementation of this system. In our analysis, we show how the system aided in the discovery of several specific socio-cultural phenomena, which led to governance changes in order to optimize resourses and raise the quality of the entire national healthcare system.
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    Item type:Publication,
    Dynamic Evolution and Improvement of Data Warehouse Design
    (IEEE, 2009)
    Sahpaski, Dragan
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    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 the implementation schema spanning across its multiple versions.A new derivation procedure for self improvement of the design andthe performance of the model is applied in several steps. We alsodefine a system for optimization of the design of the multiversionDW schema and its particular instances and include other factors relevantfor optimization of the system i.e. view selection, vertical viewfragmentation and index selection. The self improvement of the multiversionschema design is shown by performing large set of experiments.
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    Item type:Publication,
    On defining a model driven architecture for an enterprise e-health system
    (Informa UK Limited, 2018-09-22)
    Atanasovski, Blagoj
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    Bogdanovic, Milos
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    Stoimenov, Leonid
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    Dimovski, Aleksandar S.
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    Item type:Publication,
    Real Time Analytic of SQL Queries Based on Log Analytic
    (ICT ACT, 2015-09)
    Zirije Hasani
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    Analyzing huge amount of data are a big challenge. On one hand we are faced with the problem of storing a large amount of data, and on another to process it in a reasonable or even real time. Real time analytics can be defined as the capacity to use all available enterprise data and sources in the moment they arrive or happen in the system. In this paper, we present an infrastructure that we have implemented in order to analyze data from big log files in real time. The main components of the infrastructure are Redis, Logstash, Elasticsearch and Kibana. Redis is used for temporary buffering of the log data, Logstash utilizes different filters to manipulate and analyze the data, Elasticsearch is used for indexing and storing the data and Kibana is a user interface used to visualize the results. We explore implementation of several filters in order to post-process the log information and produce various statistics that suit our needs in analyzing log files containing SQL queries from a big national system in education. The post-processing of the SQL queries is mainly focused on preparing the log information in adequate format and information extraction. The purpose of the analysis is to monitor performance and detect unusual behavior in order to alert or prevent possible unwanted activities, or to develop (in future) triggers that can indicate or even prevent possible problems in real time.
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    Item type:Publication,
    Measuring the Government Openness using an Assessment Tool: Case study of Six Western Balkan Countries
    (IEEE, 2021-06-07)
    Raca, Vigan
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    Cico, Betim
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    The quality of open data remains a global challenge that has room for continuous improvement and advancement. In this research paper, we have designed an application that monitors and addresses the open government data quality issues. This application apart from monitoring attributes, it evaluates data quality for six OGD portals in Western Balkans. It can be easily configured to be extended for other OGD portals that may be the target of data quality evaluation and monitoring. The evaluation of data quality is performed using two different dimensions, each with its own metrics. The application also uses a dashboard for presenting results in visualized form through various graphs that show the performance of each country on a daily and monthly basis.