| Issue Date | Title | Author(s) |
| 2013 | Big data and humanitarian supply networks: Can Big Data give voice to the voiceless? | Monaghan, A; Lycett, M |
| 2016 | Critical analysis of Big Data Challenges and analytical methods | Sivarajah, U; Kamal, MM; Irani, Z; Weerakkody, V |
| 2016 | Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling | Dwivedi, YK; Janssen, M; Slade, EL; Rana, NP; Weerakkody, V; Millard, J; Hidders, J; Snijders, D |
| 2016 | An efficient strategy for the collection and storage of large volumes of data for computation | Suthakar, U; Magnoni, L; Smith, DR; Khan, A; Andreeva, J |
| 2020 | Financial Statement Audit using Support Vector Machines, Artificial Neural Networks and K-Nearest Neighbour: Empirical study of UK and Ireland. | Nawaiseh, Aram Khalaf; Abbod, Maysam; Itagaki, Takebumi |
| 2015 | High Impedance Fault and Heavy Load under Big Data Context | Lai, CS |
| 30-Nov-2018 | Learning Bayesian Networks from Big Data with Greedy Search | Scutari, M; Vitolo, C; Tucker, A |
| 2-Feb-2019 | Learning Bayesian networks from big data with greedy search: computational complexity and efficient implementation | Scutari, M; Vitolo, C; Tucker, A |
| 1-Aug-2017 | Modeling connected customer lifetime value (CCLV) in the banking domain | Lycett, M; Marshan, A |
| 24-Jan-2019 | MuG: A Multilevel Graph Representation for Big Data Interpretation | Colace, F; Lombardi, M; Pascale, F; Santaniello, D; Tucker, A; Villani, P |
| 2018 | Optimisation of computing and networking resources of a Hadoop cluster based on software defined network | Khaleel, A; Al-Raweshidy, H |
