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SDM
2007
SIAM
122views Data Mining» more  SDM 2007»
13 years 9 months ago
Incremental Spectral Clustering With Application to Monitoring of Evolving Blog Communities
In recent years, spectral clustering method has gained attentions because of its superior performance compared to other traditional clustering algorithms such as K-means algorithm...
Huazhong Ning, Wei Xu, Yun Chi, Yihong Gong, Thoma...
KDD
2004
ACM
160views Data Mining» more  KDD 2004»
14 years 8 months ago
k-TTP: a new privacy model for large-scale distributed environments
Secure multiparty computation allows parties to jointly compute a function of their private inputs without revealing anything but the output. Theoretical results [2] provide a gen...
Bobi Gilburd, Assaf Schuster, Ran Wolff
ESCIENCE
2006
IEEE
13 years 11 months ago
Toward Standards for Integration of Instruments into Grid Computing Environments
Instruments and sensors are the primary sources of data driving science and the development and refinement of theory. A critical component of eresearch yet to be clarified is the ...
Donald F. McMullen, Ian M. Atkinson, Kenneth Chiu,...
CE
2008
160views more  CE 2008»
13 years 7 months ago
Data mining in course management systems: Moodle case study and tutorial
Educational data mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from the educational context. This work is a ...
Cristóbal Romero, Sebastián Ventura,...
ICDM
2008
IEEE
193views Data Mining» more  ICDM 2008»
14 years 2 months ago
Multiplicative Mixture Models for Overlapping Clustering
The problem of overlapping clustering, where a point is allowed to belong to multiple clusters, is becoming increasingly important in a variety of applications. In this paper, we ...
Qiang Fu, Arindam Banerjee