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 | |
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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 | |
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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] |
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