Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject data mining
Showing results 1 to 8 of 8
| Issue Date | Title | Author(s) |
| 2020 | The Butterfly “Affect”: Impact of Development Practices on Cryptocurrency Prices | Bartolucci, S; Destefanis, G; Ortu, M; Uras, N; Marchesi, M; Tonelli, R |
| 2004 | The contribution of data mining to information science | Chen, SY; Liu, X |
| 25-Jan-2022 | Cost-sensitive Boosting Pruning Trees for depression detection on Twitter | Tong, L; Liu, Z; Jiang, Z; Zhou, F; Chen, L; Lyu, J; Zhang, X; Zhang, Q; Sadka, A; Wang, Y; Li, L; Zhou, H |
| 26-Jan-2021 | Mining service quality feedback from social media: A computational analytics method | Lee, HJ; Lee, M; Lee, H; Cruz, RA |
| 1-Sep-2017 | Multi-criteria manufacturability indices for ranking high-concentration monoclonal antibody formulations | Yang, Y; Velayudhan, A; Thornhill, NF; Farid, SS |
| 16-May-2018 | Risk Management in SMEs with Financial and Non Financial Indicators Using Business Intelligence Methods | He, C |
| 20-Sep-2021 | Self-supervised Representation Learning for Videos by Segmenting via Sampling Rate Order Prediction | Meng, H; Huang, J; Huang, Y; Wang, Q; Yang, W |
| 29-Sep-2019 | A Shallow Parsing Approach to Natural Language Queries of a Database | Skeggs, R; Lauria, S |
