Valerio Grossi - researchr alias

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Viewing Publication 1 - 23 from 23

2022

Workflows for Bringing Data Science on the Cloud/Edge Computing ContinuumPatrizio Dazzi, Valerio Grossi, Roberto Trasarti. sebd 2022: 125-132 [doi]

SoBigData RI: European Integrated Infrastructure for Social Mining and Big Data AnalyticsRoberto Trasarti, Valerio Grossi, Michela Natilli, Beatrice Rapisarda. sebd 2022: 117-124 [doi]

2021

2018

SoBigData: Social Mining & Big Data EcosystemFosca Giannotti, Roberto Trasarti, Kalina Bontcheva, Valerio Grossi. WWW 2018: 437-438 [doi]

Data science at SoBigData: the European research infrastructure for social mining and big data analyticsValerio Grossi, Beatrice Rapisarda, Fosca Giannotti, Dino Pedreschi. ijdsa, 6(3):205-216, 2018. [doi]

2017

HyWare: a HYbrid Workflow lAnguage for Research E-infrastructuresLeonardo Candela, Paolo Manghi, Fosca Giannotti, Valerio Grossi, Roberto Trasarti. dlib, 23(1/2), 2017. [doi]

Survey on using constraints in data miningValerio Grossi, Andrea Romei, Franco Turini. datamine, 31(2):424-464, 2017. [doi]

A kernel-based ensemble classifier for evolving stream of trees with double concept drifting reactionValerio Grossi, Alessandro Sperduti. ijcnn 2017: 3975-3982 [doi]

2016

Data Mining and Constraints: An OverviewValerio Grossi, Dino Pedreschi, Franco Turini. In Christian Bessiere, Luc De Raedt, Lars Kotthoff, Siegfried Nijssen, Barry O'Sullivan, Dino Pedreschi, editors, Data Mining and Constraint Programming - Foundations of a Cross-Disciplinary Approach. Volume 10101 of Lecture Notes in Computer Science, pages 25-48, Springer, 2016. [doi]

Partition-Based Clustering Using Constraint OptimizationValerio Grossi, Tias Guns, Anna Monreale, Mirco Nanni, Siegfried Nijssen. In Christian Bessiere, Luc De Raedt, Lars Kotthoff, Siegfried Nijssen, Barry O'Sullivan, Dino Pedreschi, editors, Data Mining and Constraint Programming - Foundations of a Cross-Disciplinary Approach. Volume 10101 of Lecture Notes in Computer Science, pages 282-299, Springer, 2016. [doi]

Driving Profiles Computation and Monitoring for Car Insurance CRMMirco Nanni, Roberto Trasarti, Anna Monreale, Valerio Grossi, Dino Pedreschi. tist, 8(1):14, 2016. [doi]

2015

Clustering Formulation Using Constraint OptimizationValerio Grossi, Anna Monreale, Mirco Nanni, Dino Pedreschi, Franco Turini. SEFM 2015: 93-107 [doi]

2012

Stream mining: a novel architecture for ensemble-based classificationValerio Grossi, Franco Turini. kais, 30(2):247-281, 2012. [doi]

2011

Data Streams Classification: A Selective Ensemble with Adaptive BehaviorValerio Grossi, Franco Turini. icaart 2013: 208-223 [doi]

An Adaptive Selective Ensemble for Data Streams ClassificationValerio Grossi, Franco Turini. icaart 2011: 136-145

Kernel-Based Selective Ensemble Learning for Streams of TreesValerio Grossi, Alessandro Sperduti. IJCAI 2011: 1281-1287 [doi]

2009

A New Framework for Data Streams ClassificationValerio Grossi. PhD thesis, University of Pisa, Italy, 2009. [doi]

2008

Extending KDDML with a Visual Metaphor for the KDD ProcessValerio Grossi, Andrea Romei. visualization 2008: 138-149 [doi]

A Case Study in Sequential Pattern Mining for IT-Operational RiskValerio Grossi, Andrea Romei, Salvatore Ruggieri. pkdd 2008: 424-439 [doi]

2007

Ontology-driven Association Rules Extraction: a Case of StudyAndrea Bellandi, Barbara Furletti, Valerio Grossi, Andrea Romei. context 2007: [doi]

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