Multi-model query languages: taming the variety of big data

Q Guo, C Zhang, S Zhang, J Lu - Distributed and Parallel Databases, 2024 - Springer
A critical issue in Big Data management is to address the variety of data–data are produced
by disparate sources, presented in various formats, and hence inherently involves multiple …

HAMLET: A framework for Human-centered AutoML via Structured Argumentation

M Francia, J Giovanelli, G Pisano - Future Generation Computer Systems, 2023 - Elsevier
Abstract Machine Learning (ML) plays a crucial role in data analysis and data platforms (ie,
integrated sets of technologies that collectively meet end-to-end data needs). In the last …

Cost-based optimization of multistore query plans

C Forresi, M Francia, E Gallinucci… - Information Systems …, 2023 - Springer
Multistores are data management systems that enable query processing across different and
heterogeneous databases; besides the distribution of data, complexity factors like schema …

[PDF][PDF] Towards Human-centric AutoML via Logic and Argumentation.

J Giovanelli, G Pisano - EDBT/ICDT Workshops, 2022 - ceur-ws.org
In the last decade, we have witnessed an exponential growth in both the complexity and the
number of Machine Learning (ML) techniques. As a consequence, leveraging such methods …

[PDF][PDF] On the Optimization of Query Plans in Multistores.

C Forresi, M Francia, E Gallinucci, M Golfarelli - SEBD, 2023 - ceur-ws.org
Multistores are data management systems that facilitate query processing across databases
based on different data models; in addition to distributing data, integration and data fusion …