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» Data Mining for Genetics: A Genetic Algorithm Approach
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ICDM
2003
IEEE
210views Data Mining» more  ICDM 2003»
15 years 9 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...
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
16 years 5 months ago
Privacy-Preserving Sharing of Horizontally-Distributed Private Data for Constructing Accurate Classifiers
Data mining tasks such as supervised classification can often benefit from a large training dataset. However, in many application domains, privacy concerns can hinder the construc...
Vincent Yan Fu Tan, See-Kiong Ng
ICDM
2009
IEEE
168views Data Mining» more  ICDM 2009»
15 years 11 months ago
Bi-relational Network Analysis Using a Fast Random Walk with Restart
—Identification of nodes relevant to a given node in a relational network is a basic problem in network analysis with great practical importance. Most existing network analysis ...
Jing Xia, Doina Caragea, William H. Hsu
148
Voted
CEC
2010
IEEE
15 years 5 months ago
Improving GP classification performance by injection of decision trees
This paper presents a novel hybrid method combining genetic programming and decision tree learning. The method starts by estimating a benchmark level of reasonable accuracy, based ...
Rikard König, Ulf Johansson, Tuve Löfstr...
298
Voted
IHI
2012
370views Healthcare» more  IHI 2012»
14 years 4 days ago
FUSE: a system for data-driven multi-level functional summarization of protein interaction networks
Despite recent progress in high-throughput experimental studies, systems level visualization and analysis of large protein interaction networks (ppi) remains a challenging task, g...
Boon-Siew Seah, Sourav S. Bhowmick, Charles Forbes...