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KDD
2009
ACM
180views Data Mining» more  KDD 2009»
16 years 1 months ago
Consensus group stable feature selection
Stability is an important yet under-addressed issue in feature selection from high-dimensional and small sample data. In this paper, we show that stability of feature selection ha...
Steven Loscalzo, Lei Yu, Chris H. Q. Ding
DIS
2005
Springer
15 years 6 months ago
Active Constrained Clustering by Examining Spectral Eigenvectors
Abstract. This work focuses on the active selection of pairwise constraints for spectral clustering. We develop and analyze a technique for Active Constrained Clustering by Examini...
Qianjun Xu, Marie desJardins, Kiri Wagstaff
87
Voted
MONET
2007
110views more  MONET 2007»
15 years 2 days ago
Multi-hop Clustering Based on Neighborhood Benchmark in Mobile Ad-hoc Networks
— Large-scale mobile ad-hoc networks require flexible and stable clustered network structure for efficient data collection and dissemination. In this paper, a scheme is present...
Stephen S. Yau, Wei Gao
199
Voted
SIGMOD
2009
ACM
177views Database» more  SIGMOD 2009»
16 years 24 days ago
Exploiting context analysis for combining multiple entity resolution systems
Entity Resolution (ER) is an important real world problem that has attracted significant research interest over the past few years. It deals with determining which object descript...
Zhaoqi Chen, Dmitri V. Kalashnikov, Sharad Mehrotr...
118
Voted
TKDE
2008
111views more  TKDE 2008»
15 years 14 days ago
Text Clustering with Feature Selection by Using Statistical Data
Abstract-- Feature selection is an important method for improving the efficiency and accuracy of text categorization algorithms by removing redundant and irrelevant terms from the ...
Yanjun Li, Congnan Luo, Soon M. Chung