Capitoli in Volumi Internazionali (con Referee)


[B.01] D.Bacciu, A.Bellandi, B.Furletti, V.Grossi and A.Romei.“DiscoveringStrategic Behaviors in Multi-Agent Scenarios by Ontology-Driven Mining”. In J. Aramburo and A. Ramirez Trevino (Eds.), Advances in Robotics: Automation and Control. Vienna. IN-TECH, ISBN 978-953-7619-16-9, Pages 171-198, 2008.

[B.02] V. Grossi and A. Romei “A Case Study of ETL for Operational Risks”. In R. S. Kenett and Y. Raanan (Eds.), Operational Risk Management: A Practical Approach to Intelligent Data Analysis. John Wiley and Sons Ltd, Hoboken, NJ, ISBN 9780470517666, Pages 79-97, 2010.

[B.03]  V. Grossi and F. Turini “Data Streams Classification: A Selective Ensemble with Adaptive Behavior”. In Communications in Computer and Information Science. Volume 0271 Springer-Verlag, ISSN 1865-0929, to appear, 2012.

Articoli in Riviste Internazionali (con Referee)

[U.01] V. Grossi and F. Turini. “Stream Mining: a Novel Architecture for Ensemble Based Classification”. In International Journal of Knowledge and Information Systems (Springer), DOI: 10.1007/s10115-011-0378-4, 2011.

Articoli in Conferenze Internazionali (con Referee)

[C.01] A. Bellandi, B. Furletti, V. Grossi and A.Romei. “Pushing Constraints in Association Rules Mining: An Ontology-based Approach”. In Proceedings of the International Conference WWW/Internet 2007. Volume 1. Pages 179-186. Vila Real, Portugal, 2007.

[C.02]  A. Bellandi, B. Furletti, V. Grossi and A.Romei. “Ontology-driven Associa- tion Rules Extraction: A Case Study”. In Proceedings of the workshop Con- texts and Ontologies: Representation and Reasoning (C&O:RR), Volume 298, Pages 1-12. Roskilde, Denmark, 2007.

[C.03]  A. Bellandi, B. Furletti, V. Grossi and A. Romei. “Ontological Support for Association Rule Mining”. In Proceedings of the International Conference on Artificial Intelligence and Applications (AIA 2008), ACTA Press, ISBN: 978-0-88986-709-3, Pages 339-346, Innsbruck, Austria, 2008.

[C.04]  V. Grossi and A. Romei. “Extending KDDML with a Visual Metaphor for the KDD Process”. In M. Sebillo, G. Vitiello and G. Schaefer (Eds.): VISUAL 2008, Pages 138-149, Springer-Verlag, ISBN: 3-540-85890-3. Salerno, Italy, 2008.

[C.05]  V. Grossi, A. Romei and S. Ruggieri. “A Case Study in Sequential Pat- tern Mining for IT-Operational Risk”. In Proceedings of the European Conference ECML PKDD 2008. Pages 424-439, Springer-Verlag, ISBN 978-3-540-87478-2. Antwerp, Belgium, 2008.

[C.06]  V. Grossi and F. Turini. “A New Selective Ensemble Approach for Data Streams Classification”. In Proceedings of the Tenth IASTED Internatio- nal Conference on Artificial Intelligence and Applications (AIA 2010), ACTA Press, ISBN 978-0-88986-817-5 (Book) 978-0-88986-818-2 (CD), Pages 339-346. Innsbruck, Austria, 2010.

[C.07]  V. Grossi and F. Turini. “An Adaptive Selective Ensemble for Data Streams Classification”. In Proceedings of the Third International Conference on Agents and Artificial Intelligence (ICAART 2011), SciTePress, ISBN: 978- 989-8425-40-9, Pages 136-145. Rome, Italy, 2011.

[C.08]  V. Grossi and A. Sperduti. “Kernel-based Selective Ensemble Learning for Streams of Trees”. In Proceedings of the Twenty-second International Joint Conference on Artificial Intelligence (IJCAI2011), ISBN: 978-989-8425-40- 9, Pages 1281-1287, Barcelona, Spain, 2011.

[C.09]  V. Grossi and A. Romei. “Parallel modified Prefix-Span: design and imple- mentation”. In Proceedings of the European Conference on Data Mining (ECDM2011), Pages 186-190, Rome, Italy, 2011.

[C.10] V. Grossi and A. Romei. “XQuake as a Constraint-Based Mining Language”. In Proceedings of the workshop CoCoMile at Conference ECAI2012, Pages 90-91, Montpellier, France, 2012.