Association pattern discovery via theme dictionary models
Author:
Affiliation:
1. Harvard University; Cambridge USA
2. Tsinghua University; Beijing People's Republic of China
3. Peking University; Beijing People's Republic of China
Publisher
Wiley
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1111/rssb.12032/fullpdf
Reference23 articles.
1. Agrawal , R. Imielinski , T. Swami , A. 1993 Mining association rules between sets of items in large databases In Proc. SIGMOD Int. Conf. Management of Data, 207 216
2. Agrawal , R. Srikant , R. 1994 Fast algorithms for mining association rules In Proc. 20th Int. Conf. Very Large Data Bases, Santiago
3. Blei , D. Lafferty , J. 2006 Dynamic topic models In Proc. 23rd Int. Conf. Machine Learning 113 120
4. A correlated topic model of science;Blei;Ann. Appl. Statist.,2007
5. Latent Dirichlet allocation;Blei;J. Mach. Learn. Res.,2003
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