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» Graph Mining based on a Data Partitioning Approach
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108
Voted
AAAI
2006
15 years 1 months ago
On Multi-Class Cost-Sensitive Learning
Rescaling is possibly the most popular approach to cost-sensitive learning. This approach works by rescaling the classes according to their costs, and it can be realized in differ...
Zhi-Hua Zhou, Xu-Ying Liu
114
Voted
KDD
2009
ACM
243views Data Mining» more  KDD 2009»
16 years 1 months ago
Exploiting Wikipedia as external knowledge for document clustering
In traditional text clustering methods, documents are represented as "bags of words" without considering the semantic information of each document. For instance, if two ...
Xiaohua Hu, Xiaodan Zhang, Caimei Lu, E. K. Park, ...
107
Voted
KDD
2008
ACM
199views Data Mining» more  KDD 2008»
16 years 27 days ago
Efficient computation of personal aggregate queries on blogs
There is an exploding amount of user-generated content on the Web due to the emergence of "Web 2.0" services, such as Blogger, MySpace, Flickr, and del.icio.us. The part...
Ka Cheung Sia, Junghoo Cho, Yun Chi, Belle L. Tsen...
95
Voted
ICDM
2009
IEEE
124views Data Mining» more  ICDM 2009»
15 years 7 months ago
Rule Ensembles for Multi-target Regression
—Methods for learning decision rules are being successfully applied to many problem domains, especially where understanding and interpretation of the learned model is necessary. ...
Timo Aho, Bernard Zenko, Saso Dzeroski
KDD
2003
ACM
269views Data Mining» more  KDD 2003»
16 years 27 days ago
Maximizing the spread of influence through a social network
Models for the processes by which ideas and influence propagate through a social network have been studied in a number of domains, including the diffusion of medical and technolog...
David Kempe, Jon M. Kleinberg, Éva Tardos