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ICDM
2007
IEEE
126views Data Mining» more  ICDM 2007»
15 years 10 months ago
Exploration of Link Structure and Community-Based Node Roles in Network Analysis
Communities are nodes in a network that are grouped together based on a common set of properties. While the communities and link structures are often thought to be in alignment, i...
Jerry Scripps, Pang-Ning Tan, Abdol-Hossein Esfaha...
128
Voted
ICDM
2007
IEEE
140views Data Mining» more  ICDM 2007»
15 years 10 months 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...
117
Voted
ICDM
2007
IEEE
106views Data Mining» more  ICDM 2007»
15 years 10 months ago
High-Speed Function Approximation
We address a new learning problem where the goal is to build a predictive model that minimizes prediction time (the time taken to make a prediction) subject to a constraint on mod...
Biswanath Panda, Mirek Riedewald, Johannes Gehrke,...
107
Voted
ICDM
2007
IEEE
155views Data Mining» more  ICDM 2007»
15 years 10 months 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
158
Voted
ICDM
2007
IEEE
153views Data Mining» more  ICDM 2007»
15 years 10 months 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,...