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» Text Mining at the Term Level
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125
Voted
KDD
2009
ACM
164views Data Mining» more  KDD 2009»
16 years 4 months ago
Social influence analysis in large-scale networks
In large social networks, nodes (users, entities) are influenced by others for various reasons. For example, the colleagues have strong influence on one's work, while the fri...
Jie Tang, Jimeng Sun, Chi Wang, Zi Yang
151
Voted
KDD
2009
ACM
211views Data Mining» more  KDD 2009»
16 years 4 months ago
Address standardization with latent semantic association
Address standardization is a very challenging task in data cleansing. To provide better customer relationship management and business intelligence for customer-oriented cooperates...
Honglei Guo, Huijia Zhu, Zhili Guo, Xiaoxun Zhang,...
179
Voted
KDD
2008
ACM
172views Data Mining» more  KDD 2008»
16 years 4 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
150
Voted
KDD
2012
ACM
217views Data Mining» more  KDD 2012»
13 years 6 months ago
Cross-domain collaboration recommendation
Interdisciplinary collaborations have generated huge impact to society. However, it is often hard for researchers to establish such cross-domain collaborations. What are the patte...
Jie Tang, Sen Wu, Jimeng Sun, Hang Su
104
Voted
BCSHCI
2007
15 years 5 months ago
Introducing the companions project: intelligent, persistent, personalised interfaces to the internet
The Companions project is a 4 year, EU funded Framework Programme 6 project involving a consortium of 16 partners across 8 countries. Its aim is to develop a personalised conversa...
David Benyon, Oli Mival