V
Victor Chang
Researcher at Teesside University
Publications - 422
Citations - 14812
Victor Chang is an academic researcher from Teesside University. The author has contributed to research in topics: Cloud computing & Big data. The author has an hindex of 50, co-authored 391 publications receiving 10184 citations. Previous affiliations of Victor Chang include University of Liverpool & Leeds Beckett University.
Papers
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Journal ArticleDOI
The role of big data in smart city
Ibrahim Abaker Targio Hashem,Victor Chang,Nor Badrul Anuar,Kayode S. Adewole,Ibrar Yaqoob,Abdullah Gani,Ejaz Ahmed,Haruna Chiroma +7 more
TL;DR: The state-of-the-art communication technologies and smart-based applications used within the context of smart cities are described and a future business model of big data for smart cities is proposed, and the business and technological research challenges are identified.
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Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare
Bahar Farahani,Farshad Firouzi,Victor Chang,Mustafa Badaroglu,Nicholas Constant,Kunal Mankodiya +5 more
TL;DR: It is proposed that this requires a transition from the clinic-centric treatment to patient-centric healthcare where each agent such as hospital, patient, and services are seamlessly connected to each other, and needs a multi-layer architecture.
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A review and future direction of agile, business intelligence, analytics and data science
Deanne Larson,Victor Chang +1 more
TL;DR: The application of Agile methodologies and principles to business intelligence delivery and how Agile has changed with the evolution of business intelligence are explored.
Journal ArticleDOI
Cloud computing adoption framework
TL;DR: CCAF multi-layered security blends with policy, services and business activities, and can be beneficial for volume, velocity, and veracity of big data services operated in the cloud.
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Privacy-preserving smart IoT-based healthcare big data storage and self-adaptive access control system
TL;DR: A secure system to devise a novel two-fold access control mechanism, which is self-adaptive for both normal and emergency situations, is formally proved secure, and extensive comparison and simulations demonstrate its efficiency.