Browsing by Author "Guney, Sinem"

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The Borderline Between Serious Games and Simulations
(Iated-int Assoc Technology Education & development, 2014) Guney, Sinem; Cagiltay, Nergiz Ercil; Tuner, Emre; Cereci, Ibrahim; Computer Engineering; Software Engineering; 06. School Of Engineering; 01. Atılım University
Game and simulation-based environments allow trainees to develop motor and cognitive skills as well as to provide some very detailed measurement values which in turn provide a feedback mechanism. It is a well known fact that games and simulation are potentially creating safer and cheaper active learning environments. Even when several benefits of games and simulations are reported in the literature, there is no exact definition of a game and simulation drawing the borders in between. Hence this causes to some complexities and misunderstandings in the field. Accordingly, in this study a definition for simulations and games is searched by being based on the studies found in the literature. Based on these definitions a borderline for the games and simulations will be provided. Results of study aim to guide the educational technology designers by better defining their education designs and better understanding their affect on the educational environments.
Citation - WoS: 12
Citation - Scopus: 24
A Combined Approach for Customer Profiling in Video on Demand Services Using Clustering and Association Rule Mining
(Ieee-inst Electrical Electronics Engineers inc, 2020) Guney, Sinem; Peker, Serhat; Turhan, Cigdem; Software Engineering; 06. School Of Engineering; 01. Atılım University
The purpose of this paper is to propose a combined data mining approach for analyzing and profiling customers in video on demand (VoD) services. The proposed approach integrates clustering and association rule mining. For customer segmentation, the LRFMP model is employed alongside the k-means and Apriori algorithms to generate association rules between the identified customer groups and content genres. The applicability of the proposed approach is demonstrated on real-world data obtained from an Internet protocol television (IPTV) operator. In this way, four main customer groups are identified: "high consuming-valuable subscribers", "less consuming subscribers","less consuming-loyal subscribers" and "disloyal subscribers". In detail, for each group of customers, a different marketing strategy or action is proposed, mainly campaigns, special-day promotions, discounted materials, offering favorite content, etc. Further, genres preferred by these customer segments are extracted using the Apriori algorithm. The results obtained from this case study also show that the proposed approach provides an efficient tool to form different customer segments with specific content rental characteristics, and to generate useful association rules for these distinct groups. The proposed combined approach in this research would be beneficial for IPTV service providers to implement effective CRM and customer-based marketing strategies.
Citation - WoS: 54
Citation - Scopus: 83
A Systematic Literature Review on Microservices
(Springer international Publishing Ag, 2017) Vural, Hulya; Koyuncu, Murat; Guney, Sinem; Information Systems Engineering; 06. School Of Engineering; 01. Atılım University
The cloud is an emerging paradigm which leads the way for different approaches and standards. The architectural styles are evolving based on the requirements of the cloud as well. In recent years microservices is seen as the architecture style for scalable, fast evolving cloud applications. As part of this paper, a systematic mapping study was carried out around microservices. It is aiming to find out the current trends around microservices, the motivation behind microservices research, emerging standards and the possible research gaps. The obtained results can help researchers and practitioner in software engineering domain who want to be aware of new trends about SOA and cloud computing.