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SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
13 years 7 months ago
Semi-supervised Feature Selection via Spectral Analysis
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
Zheng Zhao, Huan Liu
ESANN
2006
13 years 7 months ago
Data mining techniques for feature selection in blood cell recognition
The paper presents and compares the data mining techniques for selection of the diagnostic features in the problem of blood cell recognition in leukemia. Different techniques are c...
Tomasz Markiewicz, Stanislaw Osowski
KDD
2010
ACM
326views Data Mining» more  KDD 2010»
13 years 4 months ago
Document clustering via dirichlet process mixture model with feature selection
One essential issue of document clustering is to estimate the appropriate number of clusters for a document collection to which documents should be partitioned. In this paper, we ...
Guan Yu, Ruizhang Huang, Zhaojun Wang
CORR
2011
Springer
202views Education» more  CORR 2011»
13 years 1 months ago
Visualization techniques for data mining of Latur district satellite imagery
This study presents a new visualization tool for classification of satellite imagery. Visualization of feature space allows exploration of patterns in the image data and insight in...
B. G. Kodge, P. S. Hiremath
JMLR
2010
165views more  JMLR 2010»
13 years 1 months ago
Feature Selection: An Ever Evolving Frontier in Data Mining
The rapid advance of computer technologies in data processing, collection, and storage has provided unparalleled opportunities to expand capabilities in production, services, comm...
Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao