Scalable aggregation predictive analytics: a query-driven machine learning approach C Anagnostopoulos, F Savva, P Triantafillou Applied Intelligence 48, 2546-2567, 2018 | 28 | 2018 |
Explaining aggregates for exploratory analytics F Savva, C Anagnostopoulos, P Triantafillou 2018 IEEE International Conference on Big Data (Big Data), 478-487, 2018 | 26 | 2018 |
Ml-aqp: Query-driven approximate query processing based on machine learning F Savva, C Anagnostopoulos, P Triantafillou arXiv preprint arXiv:2003.06613, 2020 | 22 | 2020 |
Adaptive learning of aggregate analytics under dynamic workloads F Savva, C Anagnostopoulos, P Triantafillou Future Generation Computer Systems 109, 317-330, 2020 | 15 | 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 | 13 | 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 | 8 | 2020 |
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 | 5 | 2020 |
Query-driven learning for automating exploratory analytics in large-scale data management systems F Savva University of Glasgow, 2021 | 3 | 2021 |
Query-driven learning for next generation predictive modeling & analytics F Savva Proceedings of the 2019 International Conference on Management of Data, 1844 …, 2019 | 2 | 2019 |
School of Computing Science FBIR Seminar, FMNIR Seminar, CSIR Seminar | | 2024 |
TSMF: Network Latency Estimation using Matrix Factorization and Time Series Forecasting F Savva, C Anagnostopoulos, D Pezaros 2021 IFIP Networking Conference (IFIP Networking), 1-9, 2021 | | 2021 |
Scalable aggregation predictive analytics: a query-driven machine learning approach P Triantafillou, F Savva, C Anagnostopoulos Applied Intelligence 48 (9), 2546-2567, 2018 | | 2018 |