Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
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| URI | http://purl.tuc.gr/dl/dias/284C74C9-4024-4E15-9E13-754BFF15CE0D | - |
| Αναγνωριστικό | http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.190.2980&rep=rep1&type=pdf | - |
| Αναγνωριστικό | https://doi.org/10.14778/1938545.1938546 | - |
| Γλώσσα | en | - |
| Μέγεθος | 12 pages | en |
| Τίτλος | Large-scale collective entity matching | en |
| Δημιουργός | Rastogi Vibhor | en |
| Δημιουργός | Dalvi Nilesh | en |
| Δημιουργός | Garofalakis Minos | en |
| Δημιουργός | Γαροφαλακης Μινως | el |
| Εκδότης | Association for Computing Machinery | en |
| Περίληψη | There have been several recent advancements in Machine Learning community on the Entity Matching (EM) problem. However, their lack of scalability has prevented them from being applied in practical settings on large real-life datasets. Towards this end, we propose a principled framework to scale any generic EM algorithm. Our technique consists of running multiple instances of the EM algorithm on small neighborhoods of the data and passing messages across neighborhoods to construct a global solution. We prove formal properties of our framework and experimentally demonstrate the effectiveness of our approach in scaling EM algorithms. | en |
| Τύπος | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Τύπος | Conference Full Paper | en |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2015-11-30 | - |
| Ημερομηνία Δημοσίευσης | 2009 | - |
| Θεματική Κατηγορία | Database management | en |
| Βιβλιογραφική Αναφορά | V. Rastogi, N. Dalvi and M. Garofalakis, "Large-scale collective entity matching", in 35th International Conference on Very Large Data Bases, 2009. | en |
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