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GRC
2007
IEEE
13 years 8 months ago
A New Method for Constructing Decision Tree Based on Rough Set Theory
Longjun Huang, Minghe Huang, Bin Guo, Zhiming Zhua...
RSKT
2007
Springer
13 years 10 months ago
Decision-Theoretic Rough Set Models
Abstract. Decision-theoretic rough set models are a probabilistic extension of the algebraic rough set model. The required parameters for defining probabilistic lower and upper ap...
Yiyu Yao
RSKT
2010
Springer
13 years 3 months ago
Naive Bayesian Rough Sets
A naive Bayesian classifier is a probabilistic classifier based on Bayesian decision theory with naive independence assumptions, which is often used for ranking or constructing a...
Yiyu Yao, Bing Zhou
BMCBI
2006
102views more  BMCBI 2006»
13 years 4 months ago
Prediction of protein structural class with Rough Sets
Background: A new method for the prediction of protein structural classes is constructed based on Rough Sets algorithm, which is a rule-based data mining method. Amino acid compos...
Youfang Cao, Shi Liu, Lida Zhang, Jie Qin, Jiang W...
RSFDGRC
2007
Springer
236views Data Mining» more  RSFDGRC 2007»
13 years 10 months ago
Constructing Associative Classifier Using Rough Sets and Evidence Theory
Constructing accurate classifier based on association rule is an important and challenging task in data mining. In this paper, a novel combination strategy based on rough sets (RST...
Yuan-Chun Jiang, Ye-Zheng Liu, Xiao Liu, Jie-Kui Z...