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Fotis Savva
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Year
Scalable aggregation predictive analytics: a query-driven machine learning approach
C Anagnostopoulos, F Savva, P Triantafillou
Applied Intelligence 48, 2546-2567, 2018
272018
Explaining aggregates for exploratory analytics
F Savva, C Anagnostopoulos, P Triantafillou
2018 IEEE International Conference on Big Data (Big Data), 478-487, 2018
242018
Ml-aqp: Query-driven approximate query processing based on machine learning
F Savva, C Anagnostopoulos, P Triantafillou
arXiv preprint arXiv:2003.06613, 2020
222020
Adaptive learning of aggregate analytics under dynamic workloads
F Savva, C Anagnostopoulos, P Triantafillou
Future Generation Computer Systems 109, 317-330, 2020
152020
Aggregate query prediction under dynamic workloads
F Savva, C Anagnostopoulos, P Triantafillou
2019 IEEE international conference on big data (big data), 671-676, 2019
132019
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
82020
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
52020
Query-driven learning for automating exploratory analytics in large-scale data management systems
F Savva
University of Glasgow, 2021
32021
Query-driven learning for next generation predictive modeling & analytics
F Savva
Proceedings of the 2019 International Conference on Management of Data, 1844 …, 2019
22019
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
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