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GFKL
2005
Springer
101views Data Mining» more  GFKL 2005»
15 years 10 months ago
Discovering Communities in Linked Data by Multi-view Clustering
Abstract. We consider the problem of finding communities in large linked networks such as web structures or citation networks. We review similarity measures for linked objects and...
Isabel Drost, Steffen Bickel, Tobias Scheffer
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
16 years 5 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
WWW
2006
ACM
16 years 5 months ago
A probabilistic approach to spatiotemporal theme pattern mining on weblogs
Mining subtopics from weblogs and analyzing their spatiotemporal patterns have applications in multiple domains. In this paper, we define the novel problem of mining spatiotempora...
Qiaozhu Mei, Chao Liu 0001, Hang Su, ChengXiang Zh...
CIKM
2009
Springer
15 years 8 months ago
Terminology mining in social media
The highly variable and dynamic word usage in social media presents serious challenges for both research and those commercial applications that are geared towards blogs or other u...
Magnus Sahlgren, Jussi Karlgren
KDD
2006
ACM
183views Data Mining» more  KDD 2006»
16 years 5 months ago
Discovering interesting patterns through user's interactive feedback
In this paper, we study the problem of discovering interesting patterns through user's interactive feedback. We assume a set of candidate patterns (i.e., frequent patterns) h...
Dong Xin, Xuehua Shen, Qiaozhu Mei, Jiawei Han