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Analysis and Implications of the Giant Component for an Online Interactive Platform 

Aydın, Mehmet Nafiz; Perdahci, N. Ziya (Int Business Information Management Assoc-IBIMA, 2016)
This research is concerned with practical and research challenges related to understanding the nature of online interactive platforms. So-called network science is adopted to investigate the very nature of these systems ...
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An Integrated Framework for Examining Innovation Alignment in Organizations 

Dilan, Ebru; Aydın, Mehmet Nafiz (World Scientific Publ Co Pte Ltd, 2019)
Innovation has been promoted as a panacea to solve the long-standing problem of how organizations deal with complexities associated with uncertainty and instability in ever changing environments. information systems (IS) ...
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A Country-specific Analysis on Internet Interconnection Ecosystems 

Çakmak, Görkem; Aydın, Mehmet Nafiz (IEEE, 2017)
With the proliferating number of diverse participants and destinations to reach, the Internet construct has become more intricate to assay. Today, Internet Service Providers (ISPs) establish resilient networks from multiple ...
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A hybrid deep learning framework for unsupervised anomaly detection in multivariate spatio-temporal data 

Karadayı, Yıldız; Aydın, Mehmet Nafiz; Öğrenci, Arif Selçuk (MDPI AG, 2020)
Multivariate time-series data with a contextual spatial attribute have extensive use for finding anomalous patterns in a wide variety of application domains such as earth science, hurricane tracking, fraud, and disease ...
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Dynamic network analysis of online interactive platform 

Aydın, Mehmet Nafiz; Perdahci, N. Ziya (Springer, 2019)
The widespread use of online interactive platforms including social networking applications community support applications draw the attention of academics and businesses. The basic trust of this research is that the very ...
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Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Data Using Deep Learning: Early Detection of COVID-19 Outbreak in Italy 

Karadayı, Yıldız; Aydın, Mehmet Nafiz; Ögrenci, Arif Selçuk (Ieee-Inst Electrıcal Electronıcs Engıneers Inc, 2020)
Unsupervised anomaly detection for spatio-temporal data has extensive use in a wide variety of applications such as earth science, traffic monitoring, fraud and disease outbreak detection. Most real-world time series data ...
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A country-specific analysis on internet interconnection ecosystems 

Cakmak, Gorkem; Aydın, Mehmet Nafiz (IEEE, 2018)
With the proliferating number of diverse participants and destinations to reach the Internet construct has become more intricate to assay. Today Internet Service Providers (ISPs) establish resilient networks from multiple ...
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Complex Adaptive Systems Theory in the Context of Business Process Management 

Uluhan, Eray; Aydın, Mehmet Nafiz (Springer Verlag, 2014)
Organizations require agility adaptiveness and flexibility to survive and to deal with complexity in business ecosystems and business processes are recognized as cornerstones of successful organizations. Paradigms underlying ...
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Aydın, Mehmet Nafiz (18)
Aydın, Şahin (3)Dilan, Ebru (3)Karadayı, Yıldız (3)Perdahci, N. Ziya (3)Öğrenci, Arif Selçuk (2)Akdur, Gizdem (1)Akdur, Görkem (1)Cakmak, Gorkem (1)Perdahçı, Nazım Ziya (1)... View MoreSubjectDeep learning (3)Multivariate data (3)Network science (3)Spatio-temporal anomaly detection (3)Ambidexterity (2)Boarder Gateway Protocol (BGP) (2)CNN (2)Complexity (2)Corporate innovation (2)Digital innovation (2)... View MoreDate Issued2020 (7)2018 (3)2019 (3)2014 (2)2017 (2)2016 (1)Has File(s)false (10)true (8)

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