Sciweavers

587 search results - page 55 / 118
» Clustering Improves the Exploration of Graph Mining Results
Sort
View
CVPR
2008
IEEE
16 years 1 months ago
Context-aware clustering
Most existing methods of semi-supervised clustering introduce supervision from outside, e.g., manually label some data samples or introduce constrains into clustering results. Thi...
Junsong Yuan, Ying Wu
KDD
2009
ACM
216views Data Mining» more  KDD 2009»
16 years 11 days ago
Finding a team of experts in social networks
Given a task T , a pool of individuals X with different skills, and a social network G that captures the compatibility among these individuals, we study the problem of finding X ,...
Theodoros Lappas, Kun Liu, Evimaria Terzi
ICCAD
2001
IEEE
184views Hardware» more  ICCAD 2001»
15 years 8 months ago
CALiBeR: A Software Pipelining Algorithm for Clustered Embedded VLIW Processors
In this paper we describe a software pipelining framework, CALiBeR (Cluster Aware Load Balancing Retiming Algorithm), suitable for compilers targeting clustered embedded VLIW proc...
Cagdas Akturan, Margarida F. Jacome
ICDM
2003
IEEE
210views Data Mining» more  ICDM 2003»
15 years 5 months ago
CBC: Clustering Based Text Classification Requiring Minimal Labeled Data
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
Hua-Jun Zeng, Xuanhui Wang, Zheng Chen, Hongjun Lu...
ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
15 years 6 months ago
Semi-supervised Clustering Using Bayesian Regularization
Text clustering is most commonly treated as a fully automated task without user supervision. However, we can improve clustering performance using supervision in the form of pairwi...
Zuobing Xu, Ram Akella, Mike Ching, Renjie Tang