HPC-enabled GA-SVM feature selection model for large-scale data

HPC-enabled GA-SVM feature selection model for large-scale data

With the explosive growth of data to be processed in multiple areas such as bioinformatics, scientific simulation and e-commence, data mining techniques are essential in making proactive, prudent and knowledge-driven decision. Support vector machine (SVM), pioneered by Vapnik has been chosen in this...

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Bibliographic Details
Main Author: Tay, Darwin Jia Xian.
Other Authors: Stephen John Turner
Format: Final Year Project (FYP)
Language:English
Published: 2009
Subjects:
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:http://hdl.handle.net/10356/18903

Internet

http://hdl.handle.net/10356/18903

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