Latent business networks mining: A probabilistic generative model

Wenping Zhang, Raymond Y.K. Lau, Yunqing Xia, Chunping Li, Wenjie Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

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.
Original languageEnglish
Title of host publicationProceedings - 2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012
Pages558-562
Number of pages5
DOIs
Publication statusPublished - 1 Dec 2012
Event2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012 - Macau, China
Duration: 4 Dec 20127 Dec 2012

Conference

Conference2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012
Country/TerritoryChina
CityMacau
Period4/12/127/12/12

Keywords

  • Business Networks Mining
  • Latent Dirichlet Allocation
  • Semi-supervised Machine Learning
  • Web Intelligence

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

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