Dongyun Nie


Contact Details

T:Ext. 5572
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Dr. Dongyun Robin Nie is an Assistant Professor of the School of Computing. She holds a PhD in Computer Science with a concentration in Customer Relationship Management from Dublin City University, Ireland. Her research interests include customer lifetime value, forecasting, data mining and record linkage.

Conference Publication

Year Publication
2023 Ly-Duyen Tran, Dongyun Nie, Liting Zhou, Binh Nguyen, Cathal Gurrin (2023) Springer Link VAISL: Visual-Aware Identification of Semantic Locations in Lifelog [DOI]
2023 Michael Scriney; Mohan Timilsina; Edward Curry; Lukasz Porwol; Dongyun Nie; Darren Dahley; Jaime B Fernandez; Mathieu D’Aquin; Mark Roantree (2023) IEEE International Conference on Big Data Engineering Data Assets for Public Health Applications: A Covid-19 Case Study [DOI]
2022 Phuc Pham Huu, Dongyun Nie, Michael Scriney (2022) springer Entity Resolution for Multiple Sources with Extended Approach [DOI]
2020 Michael Scriney, Dongyun Nie, Mark Roantree (2020) Springer International Publishing Predicting customer churn for insurance data
2019 Dongyun Nie; Mark Roantree (2019) ICEIS Detecting multi-relationship links in sparse datasets [DOI]

Peer Reviewed Journal

Year Publication
2024 Dermot Sheridan; Aidan J. Brady; Dongyun Nie; Mark Roantree (2024) 'Predictive analysis of ratings of perceived exertion in elite Gaelic football'. Biology of Sport, . [DOI]
2023 Stevan Savić, Ivan Šećerov, Branislava Lalić, Dongyun Nie, Mark Roantree (2023) 'Air Temperature and Relative Humidity Datasets from an Urban Meteorological Network in the City Area of Novi Sad (Serbia)'. Data In Brief, . [DOI]
2022 Nie, Dongyun; Scriney, Michael; Liang, Xiaoning; Roantree, Mark (2022) 'From data acquisition to validation: a complete workflow for predicting individual customer lifetime value'. JOURNAL OF MARKETING ANALYTICS, . [DOI]
2021 Dongyun Nie, Paolo Cappellari, Mark Roantree (2021) 'A methodology for classification and validation of customer datasets'. JOURNAL OF BUSINESS & INDUSTRIAL MARKETING, . [DOI]
Certain data included herein are derived from the © Web of Science (2024) of Clarivate. All rights reserved.

Modules Coordinated

Term Title Subject
2024 Machine Learning CA4109
2024 Enterprise Computer Systems Configuration CA2049
2024 App Development CA4094
2023 Web Design CA106
2023 Digital World CA468
2022 Business Applications CA113
2020 Networks and Internets CA599