A Machine Learning Trainable Model to Assess the Accuracy of Probabilistic Record Linkage

Robespierre Pita, Everton Mendonça, Sandra Reis, Marcos Barreto, Spiros Denaxas. A Machine Learning Trainable Model to Assess the Accuracy of Probabilistic Record Linkage. In Ladjel Bellatreche, Sharma Chakravarthy, editors, Big Data Analytics and Knowledge Discovery - 19th International Conference, DaWaK 2017, Lyon, France, August 28-31, 2017, Proceedings. Volume 10440 of Lecture Notes in Computer Science, pages 214-227, Springer, 2017. [doi]

@inproceedings{PitaMRBD17,
  title = {A Machine Learning Trainable Model to Assess the Accuracy of Probabilistic Record Linkage},
  author = {Robespierre Pita and Everton Mendonça and Sandra Reis and Marcos Barreto and Spiros Denaxas},
  year = {2017},
  doi = {10.1007/978-3-319-64283-3_16},
  url = {https://doi.org/10.1007/978-3-319-64283-3_16},
  researchr = {https://researchr.org/publication/PitaMRBD17},
  cites = {0},
  citedby = {0},
  pages = {214-227},
  booktitle = {Big Data Analytics and Knowledge Discovery - 19th International Conference, DaWaK 2017, Lyon, France, August 28-31, 2017, Proceedings},
  editor = {Ladjel Bellatreche and Sharma Chakravarthy},
  volume = {10440},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-64283-3},
}