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ICDM
2007
IEEE
140views Data Mining» more  ICDM 2007»
16 years 19 days ago
Finding Cohesive Clusters for Analyzing Knowledge Communities
Documents and authors can be clustered into “knowledge communities” based on the overlap in the papers they cite. We introduce a new clustering algorithm, Streemer, which fin...
Vasileios Kandylas, S. Phineas Upham, Lyle H. Unga...
169
Voted
ICDM
2007
IEEE
124views Data Mining» more  ICDM 2007»
16 years 19 days ago
Community Learning by Graph Approximation
Learning communities from a graph is an important problem in many domains. Different types of communities can be generalized as link-pattern based communities. In this paper, we p...
Bo Long, Xiaoyun Xu, Zhongfei (Mark) Zhang, Philip...
ICDM
2007
IEEE
155views Data Mining» more  ICDM 2007»
16 years 19 days ago
Aspect Summarization from Blogsphere for Social Study
In this paper, we study the problem of summarizing reasons from blogsphere for social study. We regard weblogs as a source for collecting non-discrete public opinions, where genui...
Chia-Hui Chang, Kun-Chang Tsai
ICDM
2007
IEEE
119views Data Mining» more  ICDM 2007»
16 years 19 days ago
Reducing UK-Means to K-Means
This paper proposes an optimisation to the UK-means algorithm, which generalises the k-means algorithm to handle objects whose locations are uncertain. The location of each object...
Sau Dan Lee, Ben Kao, Reynold Cheng
193
Voted
ICDM
2007
IEEE
153views Data Mining» more  ICDM 2007»
16 years 19 days ago
HSN-PAM: Finding Hierarchical Probabilistic Groups from Large-Scale Networks
Real-world social networks are often hierarchical, reflecting the fact that some communities are composed of a few smaller, sub-communities. This paper describes a hierarchical B...
Haizheng Zhang, Wei Li, Xuerui Wang, C. Lee Giles,...