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» Generating Rule Sets from Model Trees
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96
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CEC
2010
IEEE
14 years 11 months ago
Learning-assisted evolutionary search for scalable function optimization: LEM(ID3)
Inspired originally by the Learnable Evolution Model(LEM) [5], we investigate LEM(ID3), a hybrid of evolutionary search with ID3 decision tree learning. LEM(ID3) involves interleav...
Guleng Sheri, David Corne
90
Voted
KDD
1997
ACM
96views Data Mining» more  KDD 1997»
15 years 2 months ago
Using General Impressions to Analyze Discovered Classification Rules
One of the important problems in data mining is the evaluation of subjective interestingness of the discovered rules. Past research has found that in many real-life applications i...
Bing Liu, Wynne Hsu, Shu Chen
75
Voted
FSKD
2006
Springer
124views Fuzzy Logic» more  FSKD 2006»
15 years 1 months ago
An Effective Combination of Multiple Classifiers for Toxicity Prediction
This paper presents an investigation into the combination of different classifiers for toxicity prediction. These classification methods involved in generating classifiers for comb...
Gongde Guo, Daniel Neagu, Xuming Huang, Yaxin Bi
92
Voted
IEAAIE
2004
Springer
15 years 3 months ago
Natural Language Requirements Analysis and Class Model Generation Using UCDA
This paper presents a methodology to automate natural language requirements analysis and class model generation based on the Rational Unified Process (RUP). Use-case language schem...
Dong Liu, Kalaivani Subramaniam, Armin Eberlein, B...
IJON
2002
84views more  IJON 2002»
14 years 10 months ago
On the generative probability density model in the self-organizing map
The Self-Organizing Map, SOM, is a widely used tool in exploratory data analysis. A major drawback of the SOM has been the lack of a theoretically justified criterion for model se...
Timo Kostiainen, Jouko Lampinen