Predicting customer churn for insurance data M Scriney, D Nie, M Roantree International conference on big data analytics and knowledge discovery, 256-265, 2020 | 19 | 2020 |
VAISL: Visual-aware identification of semantic locations in lifelog LD Tran, D Nie, L Zhou, B Nguyen, C Gurrin International Conference on Multimedia Modeling, 659-670, 2023 | 6 | 2023 |
A methodology for classification and validation of customer datasets D Nie, P Cappellari, M Roantree Journal of Business & Industrial Marketing 36 (5), 821-833, 2021 | 6 | 2021 |
Detecting multi-relationship links in sparse datasets D Nie, M Roantree ICEIS, 2019 | 5 | 2019 |
Air Temperature and Relative Humidity Datasets from an Urban Meteorological Network in the City Area of Novi Sad (Serbia) S Savić, I Šećerov, B Lalić, D Nie, M Roantree Data in Brief 49, 109425, 2023 | 2 | 2023 |
From data acquisition to validation: a complete workflow for predicting individual customer lifetime value D Nie, M Scriney, X Liang, M Roantree Journal of Marketing Analytics, 1-21, 2022 | 1 | 2022 |
Predictive analysis of ratings of perceived exertion in elite Gaelic football D Sheridan, AJ Brady, D Nie, M Roantree Biology of Sport 41 (4), 61-68, 2024 | | 2024 |
Engineering Data Assets for Public Health Applications: A Covid-19 Case Study M Scriney, M Timilsina, E Curry, L Porwol, D Nie, D Dahley, JB Fernandez, ... 2023 IEEE International Conference on Big Data (BigData), 1853-1862, 2023 | | 2023 |
Entity Resolution for Multiple Sources with Extended Approach PP Huu, D Nie, M Scriney Irish Conference on Artificial Intelligence and Cognitive Science, 514-526, 2022 | | 2022 |
Classification of linked historical data to calculate customer lifetime value D Nie Dublin City University, 2020 | | 2020 |