Query-driven learning for automating exploratory analytics in large-scale data management systems. - Savva, Fotis (2021)

TSMF: Network Latency Estimation using Matrix Factorization and Time Series Forecasting. - Savva, Fotis; Anagnostopoulos, Christos; Pezaros, Dimitrios (2021)

Adaptive learning of aggregate analytics under dynamic workloads. - Savva, Fotis; Anagnostopoulos, Christos; Triantafillou, Peter (Future Gener. Comput. Syst., 2020)

Large-scale Data Exploration Using Explanatory Regression Functions. - Savva, Fotis; Anagnostopoulos, Christos; Triantafillou, Peter; Kolomvatsos, Kostas (ACM Trans. Knowl. Discov. Data, 2020)

SuRF: Identification of Interesting Data Regions with Surrogate Models. - Savva, Fotis; Anagnostopoulos, Christos; Triantafillou, Peter (2020)

ML-AQP: Query-Driven Approximate Query Processing based on Machine Learning. - Savva, Fotis; Anagnostopoulos, Christos; Triantafillou, Peter (CoRR, 2020)

Aggregate Query Prediction under Dynamic Workloads. - Savva, Fotis; Anagnostopoulos, Christos; Triantafillou, Peter (2019)

Query-Driven Learning for Next Generation Predictive Modeling & Analytics. - Savva, Fotis (2019)

Adaptive Learning of Aggregate Analytics under Dynamic Workloads. - Savva, Fotis; Anagnostopoulos, Christos; Triantafillou, Peter (CoRR, 2019)

Scalable aggregation predictive analytics - A query-driven machine learning approach. - Anagnostopoulos, Christos; Savva, Fotis; Triantafillou, Peter (Appl. Intell., 2018)

Explaining Aggregates for Exploratory Analytics. - Savva, Fotis; Anagnostopoulos, Christos; Triantafillou, Peter (2018)

Explaining Aggregates for Exploratory Analytics. - Savva, Fotis; Anagnostopoulos, Christos; Triantafillou, Peter (CoRR, 2018)