Experiments with non-parametric topic models

Wray Lindsay Buntine, Swapnil Mishra

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    Original languageEnglish
    Title of host publicationKDD'14: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
    EditorsJure Leskovec, Wei Wang
    Place of PublicationNew York NY USA
    PublisherAssociation for Computing Machinery (ACM)
    Pages881 - 890
    Number of pages10
    ISBN (Print)9781450329569
    DOIs
    Publication statusPublished - 2014
    EventACM International Conference on Knowledge Discovery and Data Mining 2014: Data Science for Social Good - Bloomberg's Headquarters , New York, United States of America
    Duration: 24 Aug 201427 Aug 2014
    Conference number: 20
    http://www.kdd.org/kdd2014/

    Conference

    ConferenceACM International Conference on Knowledge Discovery and Data Mining 2014
    Abbreviated titleSIGKDD 2014
    CountryUnited States of America
    CityNew York
    Period24/08/1427/08/14
    OtherKDD'14: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. KDD 2014 features 5 keynotes, 151 Research Track papers, 44 Industry & Government Track papers and 8 invited talks, 12 tutorials, 25 workshops including the KDD Cup challenge, the Broadening Participation in Data Mining program, and more!
    Internet address

    Cite this

    Buntine, W. L., & Mishra, S. (2014). Experiments with non-parametric topic models. In J. Leskovec, & W. Wang (Eds.), KDD'14: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 881 - 890). New York NY USA: Association for Computing Machinery (ACM). https://doi.org/10.1145/2623330.2623691
    Buntine, Wray Lindsay ; Mishra, Swapnil. / Experiments with non-parametric topic models. KDD'14: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. editor / Jure Leskovec ; Wei Wang. New York NY USA : Association for Computing Machinery (ACM), 2014. pp. 881 - 890
    @inproceedings{37796055a17944bb928820eb8224f2f8,
    title = "Experiments with non-parametric topic models",
    author = "Buntine, {Wray Lindsay} and Swapnil Mishra",
    year = "2014",
    doi = "10.1145/2623330.2623691",
    language = "English",
    isbn = "9781450329569",
    pages = "881 -- 890",
    editor = "Jure Leskovec and Wei Wang",
    booktitle = "KDD'14: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining",
    publisher = "Association for Computing Machinery (ACM)",
    address = "United States of America",

    }

    Buntine, WL & Mishra, S 2014, Experiments with non-parametric topic models. in J Leskovec & W Wang (eds), KDD'14: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery (ACM), New York NY USA, pp. 881 - 890, ACM International Conference on Knowledge Discovery and Data Mining 2014, New York, United States of America, 24/08/14. https://doi.org/10.1145/2623330.2623691

    Experiments with non-parametric topic models. / Buntine, Wray Lindsay; Mishra, Swapnil.

    KDD'14: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ed. / Jure Leskovec; Wei Wang. New York NY USA : Association for Computing Machinery (ACM), 2014. p. 881 - 890.

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

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    AU - Mishra, Swapnil

    PY - 2014

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    U2 - 10.1145/2623330.2623691

    DO - 10.1145/2623330.2623691

    M3 - Conference Paper

    SN - 9781450329569

    SP - 881

    EP - 890

    BT - KDD'14: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

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    ER -

    Buntine WL, Mishra S. Experiments with non-parametric topic models. In Leskovec J, Wang W, editors, KDD'14: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York NY USA: Association for Computing Machinery (ACM). 2014. p. 881 - 890 https://doi.org/10.1145/2623330.2623691