Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Donatella Firmani"'
Publikováno v:
Frontiers in Big Data, Vol 4 (2021)
Externí odkaz:
https://doaj.org/article/78f7c55927d0441d9a5b343e12f55636
Publikováno v:
2022 26th International Conference Information Visualisation (IV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b40fc167c4dc4986fced90ef7d34209d
https://doi.org/10.1109/iv56949.2022.00054
https://doi.org/10.1109/iv56949.2022.00054
Publikováno v:
Proceedings of the 2022 International Conference on Management of Data.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cd76102f7a0274e587f1f768ef81525
https://doi.org/10.1145/3514221.3526147
https://doi.org/10.1145/3514221.3526147
Publikováno v:
Proceedings of the 2022 International Conference on Management of Data.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd081744e597c533add97d25b8736c6c
https://doi.org/10.1145/3514221.3524076
https://doi.org/10.1145/3514221.3524076
Entity resolution (ER) aims at identifying record pairs that refer to the same real-world entity. Recent works have focused on deep learning (DL) techniques, to solve this problem. While such works have brought tremendous enhancements in terms of eff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55af550b9fceeb59a13fcbacf079bdc1
https://hdl.handle.net/11573/1642697
https://hdl.handle.net/11573/1642697
Link Prediction (LP) aims at tackling Knowledge Graph incompleteness by inferring new, missing facts from the already known ones. The rise of novel Machine Learning techniques has led researchers to develop LP models that represent Knowledge Graph el
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::800eeabab1519ef2b615b20521820a5d
https://hdl.handle.net/11590/410639
https://hdl.handle.net/11590/410639
Autor:
Tommaso Teofili, Donatella Firmani, Nick Koudas, Vincenzo Martello, Paolo Merialdo, Divesh Srivastava
Entity resolution (ER) aims at matching records that refer to the same real-world entity. Although widely studied for the last 50 years, ER still represents a challenging data management problem, and several recent works have started to investigate t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ac54c0bc66fc3b9c72599d8c21787fb
https://hdl.handle.net/11590/418221
https://hdl.handle.net/11590/418221
Publikováno v:
Frontiers in Big Data, Vol 4 (2021)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5b6d584a32556fae834d1d5835e5848
https://www.frontiersin.org/articles/10.3389/fdata.2021.788491/full
https://www.frontiersin.org/articles/10.3389/fdata.2021.788491/full
Publikováno v:
SIGMOD Conference
Blocking is a key component of Entity Resolution (ER) that aims to improve efficiency by quickly pruning out non-matching record pairs. However, depending on the noise in the dataset and the distribution of entity cluster sizes, existing techniques c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::138d0522b80702e16af8363f1cfccc67
https://doi.org/10.1145/3448016.3452747
https://doi.org/10.1145/3448016.3452747
We focus on the automatic detection of communities in large networks, a challenging problem in many disciplines (such as sociology, biology, and computer science). Humans tend to associate to form families, villages, and nations. Similarly, the eleme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98b742be255315b2ac28913ece9193d9
https://hdl.handle.net/11590/387436
https://hdl.handle.net/11590/387436