| Scalable aggregation predictive analytics C Anagnostopoulos, F Savva, P Triantafillou Applied Intelligence 48 (9), 2546-2567, 2018 | 8 | 2018 |
| Explaining aggregates for exploratory analytics F Savva, C Anagnostopoulos, P Triantafillou 2018 IEEE International Conference on Big Data (Big Data), 478-487, 2018 | 5 | 2018 |
| SuRF: identification of interesting data regions with surrogate models F Savva, C Anagnostopoulos, P Triantafillou 2020 IEEE 36th International Conference on Data Engineering (ICDE), 1321-1332, 2020 | 2 | 2020 |
| Adaptive learning of aggregate analytics under dynamic workloads F Savva, C Anagnostopoulos, P Triantafillou Future Generation Computer Systems, 2020 | 2 | 2020 |
| ML-AQP: Query-Driven Approximate Query Processing based on Machine Learning F Savva, C Anagnostopoulos, P Triantafillou arXiv preprint arXiv:2003.06613, 2020 | 2 | 2020 |
| Aggregate query prediction under dynamic workloads F Savva, C Anagnostopoulos, P Triantafillou 2019 IEEE International Conference on Big Data (Big Data), 671-676, 2019 | 2 | 2019 |
| Large-scale Data Exploration Using Explanatory Regression Functions F Savva, C Anagnostopoulos, P Triantafillou, K Kolomvatsos ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (6), 1-33, 2020 | 1 | 2020 |
| Query-Driven Learning for Next Generation Predictive Modeling & Analytics F Savva Proceedings of the 2019 International Conference on Management of Data, 1844 …, 2019 | | 2019 |
| Query-driven learning for automating exploratory analytics in large-scale data management systems F Savva University of Glasgow, 0 | | |
PETER TRIANTAFILLOUProfessor, Computer Science, University of WarwickBestätigte E-Mail-Adresse bei warwick.ac.uk
