Search Results for author: Fotis Savva

Found 3 papers, 1 papers with code

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

2 code implementations14 Mar 2020 Fotis Savva, Christos Anagnostopoulos, Peter Triantafillou

As more and more organizations rely on data-driven decision making, large-scale analytics become increasingly important.

Databases

Adaptive Learning of Aggregate Analytics under Dynamic Workloads

no code implementations13 Aug 2019 Fotis Savva, Christos Anagnostopoulos, Peter Triantafillou

Large organizations have seamlessly incorporated data-driven decision making in their operations.

Decision Making

Explaining Aggregates for Exploratory Analytics

no code implementations29 Dec 2018 Fotis Savva, Christos Anagnostopoulos, Peter Triantafillou

Analysts wishing to explore multivariate data spaces, typically pose queries involving selection operators, i. e., range or radius queries, which define data subspaces of possible interest and then use aggregation functions, the results of which determine their exploratory analytics interests.

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