Papers by Dr Hyrmet Mydyti
SEEU Review, Jun 12, 2021
This journal provides immediate open access to its content under the Creative Commons BY 4.0 lice... more This journal provides immediate open access to its content under the Creative Commons BY 4.0 license. Authors who publish with this journal retain all copyrights and agree to the terms of the above-mentioned CC BY 4.0 license
Organizacija
Background and purpose This study aims to provide a practical perspective on how data mining tech... more Background and purpose This study aims to provide a practical perspective on how data mining techniques are used in the home appliance after-sales services. Study investigates on how can a recommendation system help a customer service company that plans to use data mining to improve decision making during its digital transformation process. In addition, study provides a detailed outline on the process for developing and analyzing platforms to improve data analytics for such companies. Methodology Case study approach is used for evaluating the usability of recommendation systems based on data mining approach in the context of home appliance after-sales services. We selected the latest platforms based on their relevance to the recommender system and their applicability to the functionality of the data mining system as trends in the system design. Results Evaluation of the impact on decision making shows how the application of data mining techniques in organizations can increase effici...
2021 10th Mediterranean Conference on Embedded Computing (MECO)
Data mining is a business-effective technology to provide customer experience enhancement and all... more Data mining is a business-effective technology to provide customer experience enhancement and alleviate the process of decision-making along the digital transformation journey. The main goal of this research paper is to provide a case study - an analysis on the implementation of data mining techniques, in particular clustering techniques, and a theoretical analysis and research of the clustering algorithms such as SimpleKMeans, MakeDensity BasedClusterer, Canopy, FarthestFirst and FilteredClusterer. The benefit of this practical comparative study of various clustering algorithms, by using the Weka tool, helps especially with analyzing information and predicting repairs and installations in home appliances after sales services business. Accordingly, the findings prove the impact of clustering techniques on decision-making and encourage businesses to adapt the data mining approach along their business digital transformation journey.
2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO), 2020
Digital Transformation is the process of using digital technologies that impacts and drives signi... more Digital Transformation is the process of using digital technologies that impacts and drives significant business and organization improvements and customers’ experience. Cloud Computing is one of key digital enablers of Digital Transformation of the products and processes. The main benefits of cloud services in empowering Digital Transformation are impact on cost, work efficiency, elasticity, agility, scalability and security. These benefits encourage and drive businesses and organizations in adapting their strategies to a new digital era.This research provides insights, for organizations and businesses, in terms of how cloud-based services approach empowers Digital Transformation. The approach that we are going to elaborate is based on cloud-based services, increasing capacity and enhancing functionality on demand services, with the aim of giving businesses and organizations an understanding of how to transform digitally. Digital Transformation of the organizations and businesses using the cloud-based computing services approach is the aim of this paper.
This paper aims to research demands and practices on internships. The internship management syste... more This paper aims to research demands and practices on internships. The internship management system (IMS) is a fundamental fragment of communication between students, educational institutions and businesses (S-B-A) and is an influential tool to improve the digitization of processes related to internships. The Internship Management System (IMS) will ease many processes between the counterparts. Internships will ease the process of discovering talents fitting the internal culture of the companies and increasing the companies’ productivity. Moreover, the internships will assist educational institutions being market-oriented by making students before their graduation to be better informed with the requests of the market and being aware of their skills and abilities. In this paper, we have given different perspectives and approaches on practices of internships, design patterns and frameworks on reinforcing the communication between the three above-mentioned pillars (S-B-A). Questionnaire ...
International Journal of E-Services and Mobile Applications, 2021
Digital transformation is the process of consuming digital technologies that drives business impr... more Digital transformation is the process of consuming digital technologies that drives business improvements and customer experience. Artificial intelligence plays a crucial role in businesses' digital transformation agendas. Technologies and algorithms are an important perspective in the implementation of chatbots. AI chatbots use natural language processing technology and offer solutions for modernizing traditional business processes. The key advantage of the implementation of chatbots in different domains is the impact by improving customers' experience and reducing costs. Chatbots are pieces of software that simulate human conversation through voice commands and/or text chats, intending to offer companies an approach on how to use this software to revolutionize their businesses. The aim of this paper is the analysis of the evaluation criteria; the study of insights into how chatbots can be implemented in the domains of banking, e-commerce, tourism, and call centres; and the...
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2021
SEEU Review, 2021
Data mining, as an essential part of artificial intelligence, is a powerful digital technology, w... more Data mining, as an essential part of artificial intelligence, is a powerful digital technology, which makes businesses predict future trends and alleviate the process of decision-making and enhancing customer experience along their digital transformation journey. This research provides a practical implication – a case study - to provide guidance on analyzing information and predicting repairs in home appliances after sales services business. The main benefit of this practical comparative study of various classification algorithms, by using the Weka tool, is the analysis of information and the prediction of repairs in the home appliances after sales services business. The comparison of algorithms is performed considering different parameters, such as the mean absolute error, root mean square error, relative absolute error and root relative squared error, receiver operating characteristic area, accuracy, Matthews’s correlation coefficient, precision-recall curve, precision, F-measure,...
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Papers by Dr Hyrmet Mydyti