Kalinka Kaloyanova

Prof. Kalinka Kaloyanova

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 January 2023 in Frontiers in Public Health
Verified
Journal Article
Open access
KKKalinka Kaloyanova
Kalinka Kaloyanova
NLNikoleta Leventi
Nikoleta Leventi
EKElitsa Kaloyanova
Elitsa Kaloyanova
The main purpose of this article is to describe the importance and the challenges of digital health literacy as recognized during the COVID-19 pandemic. First, basic definitions of health literacy and digital health literacy are provided, followed by, and matched against digital competence frameworks, and health literacy skills content and scales. Based on that, a compatibility analysis is provided, against the expectations for satisfactory levels definition for the respective competences and skills. For the approbation of the approach, results received from the participation of computing students at the Sofia University St. Kliment Ohridski in the COVID-19 Health Literacy Survey are used.

27 May 2022 in TEM Journal
Verified
Journal Article
Open access
ZKZlatinka Kovacheva
Zlatinka Kovacheva
KKKalinka Kaloyanova
Kalinka Kaloyanova
INIna Naydenova
Ina Naydenova
ESEmiliya Saranova
Emiliya Saranova

1 January 2024 in AIP Conference Proceedings
Verified
Conference Paper
Closed access
PDF file
KKKalinka Kaloyanova
Kalinka Kaloyanova
Zlatinka Svetoslavova KovachevaZlatinka Svetoslavova Kovacheva
Zlatinka Svetoslavova Kovacheva
INIna Naydenova
Ina Naydenova
The secondary use of data concerns the use of data for purposes that are different from the purpose for which data was initially collected. Although data manage The secondary use of data concerns the use of data for purposes that are different from the purpose for which data was initially collected. Although data manage

2 October 2016
Verified
Conference Paper
Closed access
ARAtanas Radenski
Atanas Radenski
TGTodor Gurov
Todor Gurov
KKKalinka Kaloyanova
Kalinka Kaloyanova
NKNikolay Kirov
Nikolay Kirov
Maria NishevaMaria Nisheva
Maria Nisheva
ESEugenia Stoimenova
Eugenia Stoimenova

1 January 2017
Verified
Conference Paper
Closed access
Zlatinka Svetoslavova KovachevaZlatinka Svetoslavova Kovacheva
Zlatinka Svetoslavova Kovacheva
INIna Naydenova
Ina Naydenova
KKKalinka Kaloyanova
Kalinka Kaloyanova
KMKrasimir Markov
Krasimir Markov
Big data challenges different aspects of storing, processing and managing data, as well as analyzing and using data for business purposes. Applying Data Mining methods over Big Data is another challenge because of huge data volumes, variety of information, and the dynamic of the sources. Different applications are made in this area, but their successful usage depends on understanding many specific parameters. In this paper we present several opportunities for using Data Mining techniques provided by the analytical engine of RDBMS Oracle over data stored in Hadoop Distributed File System (HDFS). Some experimental results are given and they are discussed.

1 January 2011
Verified
Conference Paper
Open access
PDF file
JNJuan Pablo Napoli
Juan Pablo Napoli
KKKalinka Kaloyanova
Kalinka Kaloyanova
In the software industry there are new major technology trends - i.e. Service Oriented Architecture (SOA), Business Process Management (BPM) and Enterprise Architecture - that had already gained enough popularity and adoption to have a stance on their own in the community of practice, but that have not been successfully incorporated into the standard set of software development practices. This creates a window of opportunity for the Software Engineering (SE) researchers to evaluate the inclusion of these new concepts into the existing software development process. This paper introduces the idea of an integrated framework with the aim of supporting the inclusion of SOA, BPM and EA into the Rational Unified Process (RUP). We expect that the current work will support future researchers in finding the proper path to achieve consensus for the inclusion of the mentioned topics into a common framework.