TSMF: Network Latency Estimation using Matrix Factorization and Time Series Forecasting[paper] Tags :Latency EstimationMatrix FactorizationNetworksSavva, F. , Anagnostopoulos, C. and Pezaros D. (2021)(IFIP)
Query-Driven Learning for Automating Exploratory Analytics in Large-Scale Data Management Systems[draft]
Savva, F. (2020)(Thesis)
Large-scale Data Exploration Using Explanatory Regression Functions[paper] Tags :Data ExplorationExplanationsQuery-Driven LearningSavva, F. , Anagnostopoulos, C. and Triantafillou, P., , Kolomvatsos K(2020)(TKDD)
ML-AQP: Query-Driven Approximate Query Processing based on Machine Learning[preprint] Tags :Approximate Query ProcessingApplied Machine LearningQuery-Driven LearningSavva, F. , Anagnostopoulos, C. and Triantafillou, P. (2020)(arXiv)
SuRF: Identification of Interesting Data Regions with Surrogate Models[preprint] Tags :Autonomous Data ExplorationApplied Machine LearningBiological OptimizationSavva, F. , Anagnostopoulos, C. and Triantafillou, P.(2020)(ICDE2020)
Adaptive learning of aggregate analytics under dynamic workloads[paper] Tags :Concept Drift Detection/AdaptationApplied Machine LearningEnsemble LearningSavva, F. , Anagnostopoulos, C. and Triantafillou, P.(2020) Future Computer Generation Systems (FGCS2020)
Aggregate query prediction under dynamic workloads[paper] Tags :Concept Drift Detection/AdaptationApplied Machine LearningEnsemble LearningSavva, F. , Anagnostopoulos, C. and Triantafillou, P.(2019)(BigData19)
Query-Driven Learning for Next Generation Predictive Modeling & Analytics[paper]
Tags :Applied Machine LearningQuery-Driven LearningApproximate Query ProcessingSavva, F. "Query-Driven Learning for Next Generation Predictive Modeling & Analytics." Proceedings of the 2019 International Conference on Management of Data. ACM, 2019.(SIGMOD19)
Explaining Aggregates for Exploratory Analytics[paper] Tags :MARSOptimizationExploratory Data AnalyticsExplanation via RegressionSavva, F. , Anagnostopoulos, C. and Triantafillou, P. "Explaining Aggregates for Exploratory Analytics." 2018 IEEE International Conference on Big Data (Big Data). IEEE, 2018.(BigData18)
Scalable aggregation predictive analytics[paper]
Tags :Apache SparkApplied Machine LearningCardinality EstimationAnagnostopoulos, C. , Savva, F. and Triantafillou, P. (2018) Applied Intelligence, 48(9), pp. 2546-2567.
(doi:10.1007/s10489-017-1093-y)(AppliedIntelligence18)