Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/33734
Title: Latent business networks mining : a probabilistic generative model
Authors: Zhang, W
Lau, RYK
Xia, Y
Li, C
Li, WM 
Keywords: Business Networks Mining
Latent Dirichlet Allocation
Semi-supervised Machine Learning
Web Intelligence
Issue Date: 2012
Publisher: IEEE
Source: 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology (WI-IAT), 4-7 December 2012, Macau, p. 558-562 How to cite?
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.
URI: http://hdl.handle.net/10397/33734
ISBN: 978-1-4673-6057-9
DOI: 10.1109/WI-IAT.2012.195
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

31
Last Week
3
Last month
Checked on Aug 20, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.