The Effect of Transitive Closure on the Calibration of Logistic Regression for Entity Resolution
This paper describes a series of experiments in using logistic regression machine learning as a method for entity resolution. From these experiments the authors concluded that when a supervised ML algorithm is trained to classify a pair of entity references as linked or not linked pair, the evaluati...
| Main Authors: | , |
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| Format: | Article |
| Language: | fas |
| Published: |
University of Tehran
2019-01-01
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| Series: | Journal of Information Technology Management |
| Subjects: | |
| Online Access: | https://jitm.ut.ac.ir/article_72757_61af07afd28a0326a7aa5b824f16a8bb.pdf |