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» An Analysis of Rule Evaluation Metrics
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JDWM
2007
122views more  JDWM 2007»
13 years 9 months ago
A Hyper-Heuristic for Descriptive Rule Induction
Rule induction from examples is a machine learning technique that finds rules of the form condition → class, where condition and class are logic expressions of the form variable...
Tho Hoan Pham, Tu Bao Ho
COLING
2010
13 years 4 months ago
Build Chinese Emotion Lexicons Using A Graph-based Algorithm and Multiple Resources
For sentiment analysis, lexicons play an important role in many related tasks. In this paper, aiming to build Chinese emotion lexicons for public use, we adopted a graph-based alg...
Ge Xu, Xinfan Meng, Houfeng Wang
GECCO
2009
Springer
161views Optimization» more  GECCO 2009»
14 years 3 months ago
Are evolutionary rule learning algorithms appropriate for malware detection?
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classi...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...
CSB
2005
IEEE
146views Bioinformatics» more  CSB 2005»
14 years 2 months ago
Multi-Metric and Multi-Substructure Biclustering Analysis for Gene Expression Data
A good number of biclustering algorithms have been proposed for grouping gene expression data. Many of them have adopted matrix norms to define the similarity score of a bicluste...
Sun-Yuan Kung, Man-Wai Mak, Ilias Tagkopoulos
ERCIM
2008
78views more  ERCIM 2008»
13 years 9 months ago
Test Coverage Analysis and Preservation for Requirements-Based Testing
The testing process for safety-critical systems is usually evaluated with code coverage criteria such as MC/DC (Modified Condition/Decision Coverage) defined in the standard DO-17...
Raimund Kirner, Susanne Kandl