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ICDM
2007
IEEE
192views Data Mining» more  ICDM 2007»
16 years 1 months ago
Discovering Temporal Communities from Social Network Documents
Discovering communities from documents involved in social discourse is an important topic in social network analysis, enabling greater understanding of the relationships among act...
Ding Zhou, Isaac G. Councill, Hongyuan Zha, C. Lee...
ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
16 years 1 months ago
A Generalization of Proximity Functions for K-Means
K-means is a widely used partitional clustering method. A large amount of effort has been made on finding better proximity (distance) functions for K-means. However, the common c...
Junjie Wu, Hui Xiong, Jian Chen, Wenjun Zhou
VL
2006
IEEE
16 years 26 days ago
Gender Differences in End-User Debugging, Revisited: What the Miners Found
We have been working to uncover gender differences in the ways males and females problem solve in end-user programming situations, and have discovered differences in males’ vers...
Valentina Grigoreanu, Laura Beckwith, Xiaoli Z. Fe...
ICDM
2005
IEEE
137views Data Mining» more  ICDM 2005»
16 years 14 days ago
Leveraging Relational Autocorrelation with Latent Group Models
The presence of autocorrelation provides a strong motivation for using relational learning and inference techniques. Autocorrelation is a statistical dependence between the values...
Jennifer Neville, David Jensen
ADMA
2006
Springer
143views Data Mining» more  ADMA 2006»
15 years 10 months ago
Robust Collective Classification with Contextual Dependency Network Models
Abstract. In order to exploit the dependencies in relational data to improve predictions, relational classification models often need to make simultaneous statistical judgments abo...
YongHong Tian, Tiejun Huang, Wen Gao