Ph.D. in Ingegneria Informatica E Dei Sistemi , 31st cycle (2015-2018)
Ph.D. obtained in 2019
Dissertation:
Text miner's little helper: scalable self-tuning methodologies for knowledge exploration (Abstract)
Tutors:
Tania CerquitelliTeaching
Teachings
Master of Science
- Business intelligence. A.A. 2015/16, INGEGNERIA GESTIONALE. Collaboratore del corso
- Business intelligence per big data. A.A. 2016/17, INGEGNERIA GESTIONALE. Collaboratore del corso
- Business intelligence per big data. A.A. 2017/18, INGEGNERIA GESTIONALE. Collaboratore del corso
- Business intelligence per big data. A.A. 2018/19, INGEGNERIA GESTIONALE. Collaboratore del corso
Bachelor of Science
- Basi di dati. A.A. 2016/17, INGEGNERIA INFORMATICA. Collaboratore del corso
- Basi di dati. A.A. 2016/17, INGEGNERIA GESTIONALE. Collaboratore del corso
- Basi di dati. A.A. 2017/18, INGEGNERIA GESTIONALE. Collaboratore del corso
- Basi di dati. A.A. 2018/19, INGEGNERIA GESTIONALE. Collaboratore del corso
Publications
Works published during the Ph.D. View all publications in Porto@Iris
- Cerquitelli, Tania; DI CORSO, Evelina; Proto, Stefano; Capozzoli, Alfonso; Bellotti, ... (2019)
Exploring energy performance certificates through visualization. In: 2nd International Workshop on Big Data Visual Exploration and Analytics (BigVis), Lisbon, Portugal, March 26, 2019
Contributo in Atti di Convegno (Proceeding) - DI CORSO, Evelina (2019)
Text miner's little helper: scalable self-tuning methodologies for knowledge exploration. relatore: CERQUITELLI, TANIA; , 31. XXXI Ciclo, P.: 214
Doctoral Thesis - DI CORSO, Evelina; Proto, Stefano; Cerquitelli, Tania; Chiusano, SILVIA ANNA (2019)
Towards automated visualisation of scientic literature. In: 23rd European Conference on Advances in Databases and Information Systems, Bled (Slovenia), September, 8-11, 2019, pp. 28-36. ISBN: 978-3-030-30277-1
Contributo in Atti di Convegno (Proceeding) - Proto, Stefano; DI CORSO, Evelina; Ventura, Francesco; Cerquitelli, Tania (2018)
Useful ToPIC: Self-tuning strategies to enhance Latent Dirichlet Allocation. In: BigData Congress 2018, San Francisco (USA), July 2-7, 2018, pp. 33-40. ISBN: 978-1-5386-7232-7
Contributo in Atti di Convegno (Proceeding) - Di Corso, Evelina; Cerquitelli, Tania; Apiletti, Daniele (2018)
METATECH: METeorological Data Analysis for Thermal Energy CHaracterization by Means of Self-Learning Transparent Models. In: ENERGIES, vol. 11. ISSN 1996-1073
Contributo su Rivista - Di Corso, Evelina; Ventura, Francesco; Cerquitelli, Tania (2017)
All in a twitter: Self-tuning strategies for a deeper understanding of a crisis tweet collection. In: Big Data (Big Data), 2017 IEEE International Conference on, Boston (USA), 11-14 Dec. 2017, pp. 3722-3726. ISBN: 978-1-5386-2715-0
Contributo in Atti di Convegno (Proceeding) - Venturini, Luca; DI CORSO, Evelina (2017)
Analyzing spatial data from twitter during a disaster. In: Big Data (Big Data), 2017 IEEE International Conference on, Boston (USA), 11-14 Dec. 2017, pp. 3779-3783. ISBN: 978-1-5386-2715-0
Contributo in Atti di Convegno (Proceeding) - Cerquitelli, T.; Di Corso, E.; Ventura, F.; Chiusano, S. (2017)
Prompting the data transformation activities for cluster analysis on collections of documents. In: 25th Italian Symposium on Advanced Database Systems, SEBD 2017, Squillace Lido, Catanzaro, Italy, June 25th-29th, 2017,, Squillace Lido, Catanzaro, Italy, June 25th-29th, 2017, pp. 1-8
Contributo in Atti di Convegno (Proceeding)