Institutional Repository
Technical University of Crete
Technical University of Crete
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EL
| URI | http://purl.tuc.gr/dl/dias/284C74C9-4024-4E15-9E13-754BFF15CE0D | - |
| Identifier | http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.190.2980&rep=rep1&type=pdf | - |
| Identifier | https://doi.org/10.14778/1938545.1938546 | - |
| Language | en | - |
| Extent | 12 pages | en |
| Title | Large-scale collective entity matching | en |
| Creator | Rastogi Vibhor | en |
| Creator | Dalvi Nilesh | en |
| Creator | Garofalakis Minos | en |
| Creator | Γαροφαλακης Μινως | el |
| Publisher | Association for Computing Machinery | en |
| Content Summary | 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 |
| Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Full Paper | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-11-30 | - |
| Date of Publication | 2009 | - |
| Subject | Database management | en |
| Bibliographic Citation | 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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