Scalable mining of social data using stochastic gradient fisher scoring

Scalable mining of social data using stochastic gradient fisher scoring. Kang, J. & Lerman, K. In Mahmud, J., Caverlee, J., Nichols, J., O'Donovan, J., & Zhou, M. X., editors, Proceedings of the 2013 Workshop on Data-Driven User Behavioral Modelling and Mining from Social Media, DUBMOD@CIKM 2013 San Francisco, CA, USA, October 28, 2013, pages 21–24, 2013. ACM.

Paper doi bibtex 16 downloads

@inproceedings{DBLP:conf/cikm/KangL13,
  author       = {Jeon{-}Hyung Kang and
                  Kristina Lerman},
  editor       = {Jalal Mahmud and
                  James Caverlee and
                  Jeffrey Nichols and
                  John O'Donovan and
                  Michelle X. Zhou},
  title        = {Scalable mining of social data using stochastic gradient fisher scoring},
  booktitle    = {Proceedings of the 2013 Workshop on Data-Driven User Behavioral Modelling
                  and Mining from Social Media, DUBMOD@CIKM 2013 San Francisco, CA,
                  USA, October 28, 2013},
  pages        = {21--24},
  publisher    = {{ACM}},
  year         = {2013},
  url          = {https://doi.org/10.1145/2513577.2513582},
  doi          = {10.1145/2513577.2513582},
  timestamp    = {Sun, 26 Nov 2023 00:57:50 +0100},
  biburl       = {https://dblp.org/rec/conf/cikm/KangL13.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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