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KDD
2009
ACM
173views Data Mining» more  KDD 2009»
16 years 6 months ago
Constant-factor approximation algorithms for identifying dynamic communities
We propose two approximation algorithms for identifying communities in dynamic social networks. Communities are intuitively characterized as "unusually densely knit" sub...
Chayant Tantipathananandh, Tanya Y. Berger-Wolf
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 6 months ago
Heterogeneous source consensus learning via decision propagation and negotiation
Nowadays, enormous amounts of data are continuously generated not only in massive scale, but also from different, sometimes conflicting, views. Therefore, it is important to conso...
Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han
PODS
2009
ACM
171views Database» more  PODS 2009»
16 years 6 months ago
XML schema mappings
Relational schema mappings have been extensively studied in connection with data integration and exchange problems, but mappings between XML schemas have not received the same amo...
Shun'ichi Amano, Leonid Libkin, Filip Murlak
KDD
2008
ACM
195views Data Mining» more  KDD 2008»
16 years 6 months ago
Learning from multi-topic web documents for contextual advertisement
Contextual advertising on web pages has become very popular recently and it poses its own set of unique text mining challenges. Often advertisers wish to either target (or avoid) ...
Yi Zhang, Arun C. Surendran, John C. Platt, Mukund...
KDD
2008
ACM
184views Data Mining» more  KDD 2008»
16 years 6 months ago
Joint latent topic models for text and citations
In this work, we address the problem of joint modeling of text and citations in the topic modeling framework. We present two different models called the Pairwise-Link-LDA and the ...
Ramesh Nallapati, Amr Ahmed, Eric P. Xing, William...
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