Using clustering and transitivity to reduce the costs of crowdsourced entity resolution

Using clustering and transitivity to reduce the costs of crowdsourced entity resolution. Guo, L., Sun, H., & Liu, X. In Proceedings of the 1st International Workshop on Crowd-based Software Development Methods and Technologies, CrowdSoft 2014, Hong Kong, China, November 17, 2014, pages 13–18, 2014.

Paper doi bibtex

@inproceedings{DBLP:conf/sigsoft/GuoSL14,
  author    = {Lisha Guo and
               Hailong Sun and
               Xudong Liu},
  title     = {Using clustering and transitivity to reduce the costs of crowdsourced
               entity resolution},
  booktitle = {Proceedings of the 1st International Workshop on Crowd-based Software
               Development Methods and Technologies, CrowdSoft 2014, Hong Kong, China,
               November 17, 2014},
  pages     = {13--18},
  year      = {2014},
  crossref  = {DBLP:conf/sigsoft/2014crowdsoft},
  url       = {http://doi.acm.org/10.1145/2666539.2666568},
  doi       = {10.1145/2666539.2666568},
  timestamp = {Fri, 04 Aug 2017 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/bib/conf/sigsoft/GuoSL14},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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