A Clustering-Based Framework for Incrementally Repairing Entity Resolution

Qing Wang, Jingyi Gao, Peter Christen. A Clustering-Based Framework for Incrementally Repairing Entity Resolution. In James Bailey, Latifur Khan, Takashi Washio, Gillian Dobbie, Joshua Zhexue Huang, Ruili Wang, editors, Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part II. Volume 9652 of Lecture Notes in Computer Science, pages 283-295, Springer, 2016. [doi]

@inproceedings{WangGC16-1,
  title = {A Clustering-Based Framework for Incrementally Repairing Entity Resolution},
  author = {Qing Wang and Jingyi Gao and Peter Christen},
  year = {2016},
  doi = {10.1007/978-3-319-31750-2_23},
  url = {http://dx.doi.org/10.1007/978-3-319-31750-2_23},
  researchr = {https://researchr.org/publication/WangGC16-1},
  cites = {0},
  citedby = {0},
  pages = {283-295},
  booktitle = {Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part II},
  editor = {James Bailey and Latifur Khan and Takashi Washio and Gillian Dobbie and Joshua Zhexue Huang and Ruili Wang},
  volume = {9652},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-31749-6},
}