Fotis Savva

Large-scale Data Exploration Using Explanatory Regression Functions

Peter Triantafillou, Kostas Kolomvatsos, Christos Anagnostopoulos, 2020, ACM Trans. Knowl. Discov. Data.

Adaptive learning of aggregate analytics under dynamic workloads

Peter Triantafillou, Christos Anagnostopoulos, Fotis Savva, 2020, Future Gener. Comput. Syst..

Adaptive Learning of Aggregate Analytics under Dynamic Workloads pdf

Peter Triantafillou, Christos Anagnostopoulos, Fotis Savva, 2019, Future Gener. Comput. Syst..

Aggregate Query Prediction under Dynamic Workloads

Peter Triantafillou, Christos Anagnostopoulos, Fotis Savva, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Scalable aggregation predictive analytics

Peter Triantafillou, Christos Anagnostopoulos, Fotis Savva, 2017, Applied Intelligence.

Explaining Aggregates for Exploratory Analytics

Peter Triantafillou, Christos Anagnostopoulos, Fotis Savva, 2018, 2018 IEEE International Conference on Big Data (Big Data).

SuRF: Identification of Interesting Data Regions with Surrogate Models

Christos Anagnostopoulos, Fotis Savva, Peter Triantafillou, 2020, 2020 IEEE 36th International Conference on Data Engineering (ICDE).

ML-AQP: Query-Driven Approximate Query Processing based on Machine Learning pdf

Peter Triantafillou, Christos Anagnostopoulos, Fotis Savva, 2020, ArXiv.

Query-Driven Learning for Next Generation Predictive Modeling & Analytics

Fotis Savva, 2019, SIGMOD Conference.

Query-driven learning for automating exploratory analytics in large-scale data management systems

Fotis Savva, 2021 .

TSMF: Network Latency Estimation using Matrix Factorization and Time Series Forecasting

Christos Anagnostopoulos, Fotis Savva, Dimitrios Pezaros, 2021, 2021 IFIP Networking Conference (IFIP Networking).