Valerio Grossi

According to our database, Valerio Grossi authored at least 23 papers between 2007 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

SoBigData RI: European Integrated Infrastructure for Social Mining and Big Data Analytics.

Roberto Trasarti, Valerio Grossi, Michela Natilli, Beatrice Rapisarda

Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

Workflows for Bringing Data Science on the Cloud/Edge Computing Continuum.

Patrizio Dazzi, Valerio Grossi, Roberto Trasarti

Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

2021

Introduction to the special issue on social mining and big data ecosystem for open, responsible data science.

Luca Pappalardo, Valerio Grossi, Dino Pedreschi

Int. J. Data Sci. Anal., 2021

Data science: a game changer for science and innovation.

Valerio Grossi, Fosca Giannotti, Dino Pedreschi, Paolo Manghi, Pasquale Pagano, Massimiliano Assante

Int. J. Data Sci. Anal., 2021

A workflow language for research e-infrastructures.

Leonardo Candela, Valerio Grossi, Paolo Manghi, Roberto Trasarti

Int. J. Data Sci. Anal., 2021

Data Science Workflows for the Cloud/Edge Computing Continuum.

Valerio Grossi, Roberto Trasarti, Patrizio Dazzi

Proceedings of the FRAME@HPDC 2021: Proceedings of the 1st Workshop on Flexible Resource and Application Management on the Edge, 2021

2018

Data science at SoBigData: the European research infrastructure for social mining and big data analytics.

Valerio Grossi, Beatrice Rapisarda, Fosca Giannotti, Dino Pedreschi

Int. J. Data Sci. Anal., 2018

SoBigData: Social Mining & Big Data Ecosystem.

Fosca Giannotti, Roberto Trasarti, Kalina Bontcheva, Valerio Grossi

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

2017

HyWare: a HYbrid Workflow lAnguage for Research E-infrastructures.

Leonardo Candela, Paolo Manghi, Fosca Giannotti, Valerio Grossi, Roberto Trasarti

D Lib Mag., 2017

Survey on using constraints in data mining.

Valerio Grossi, Andrea Romei, Franco Turini

Data Min. Knowl. Discov., 2017

A kernel-based ensemble classifier for evolving stream of trees with double concept drifting reaction.

Valerio Grossi, Alessandro Sperduti

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Data Mining and Constraints: An Overview.

Valerio Grossi, Dino Pedreschi, Franco Turini

Proceedings of the Data Mining and Constraint Programming, 2016

Partition-Based Clustering Using Constraint Optimization.

Valerio Grossi, Tias Guns, Anna Monreale, Mirco Nanni, Siegfried Nijssen

Proceedings of the Data Mining and Constraint Programming, 2016

Driving Profiles Computation and Monitoring for Car Insurance CRM.

Mirco Nanni, Roberto Trasarti, Anna Monreale, Valerio Grossi, Dino Pedreschi

ACM Trans. Intell. Syst. Technol., 2016

2015

Clustering Formulation Using Constraint Optimization.

Valerio Grossi, Anna Monreale, Mirco Nanni, Dino Pedreschi, Franco Turini

Proceedings of the Software Engineering and Formal Methods, 2015

2012

Stream mining: a novel architecture for ensemble-based classification.

Valerio Grossi, Franco Turini

Knowl. Inf. Syst., 2012

2011

Kernel-Based Selective Ensemble Learning for Streams of Trees.

Valerio Grossi, Alessandro Sperduti

Proceedings of the IJCAI 2011, 2011

Data Streams Classification: A Selective Ensemble with Adaptive Behavior.

Valerio Grossi, Franco Turini

Proceedings of the Agents and Artificial Intelligence - Third International Conference, 2011

An Adaptive Selective Ensemble for Data Streams Classification.

Valerio Grossi, Franco Turini

Proceedings of the ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, Volume 1, 2011

2009

A New Framework for Data Streams Classification.

Valerio Grossi

PhD thesis, 2009

2008

Extending KDDML with a Visual Metaphor for the KDD Process.

Valerio Grossi, Andrea Romei

Proceedings of the Visual Information Systems. Web-Based Visual Information Search and Management, 2008

A Case Study in Sequential Pattern Mining for IT-Operational Risk.

Valerio Grossi, Andrea Romei, Salvatore Ruggieri

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

2007

Ontology-driven Association Rules Extraction: a Case of Study.

Andrea Bellandi, Barbara Furletti, Valerio Grossi, Andrea Romei

Proceedings of the International Workshop on Contexts and Ontologies: Representation and Reasoning (C&O:RR) Collocated with the 6th International and Interdisciplinary Conference on Modelling and Using Context (CONTEXT-2007), 2007