• DocumentCode
    2119858
  • Title

    Latent Business Networks Mining: A Probabilistic Generative Model

  • Author

    Wenping Zhang ; Lau, Raymond Y. K. ; Yunqing Xia ; Chunping Li ; Li, W.M.

  • Author_Institution
    Dept. of Inf. Syst., City Univ. of Hong Kong, Hong Kong, China
  • Volume
    1
  • fYear
    2012
  • fDate
    4-7 Dec. 2012
  • Firstpage
    558
  • Lastpage
    562
  • Abstract
    Though numerous research has been devoted to social network discovery and analysis, relatively little research has been conducted on business network discovery. The main contribution of our research is the development of a novel probabilistic generative model for latent business networks mining. Our experimental results confirm that the proposed method outperforms the well-known vector space based model by 24% in terms of AUC value.
  • Keywords
    business data processing; data mining; learning (artificial intelligence); probability; AUC value; business network discovery; latent business network mining; probabilistic generative model; Business Networks Mining; Latent Dirichlet Allocation; Semi-supervised Machine Learning; Web Intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology (WI-IAT), 2012 IEEE/WIC/ACM International Conferences on
  • Conference_Location
    Macau
  • Print_ISBN
    978-1-4673-6057-9
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2012.195
  • Filename
    6511940
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2119858