Browsing School of Computer and Communication Engineering (FYP) by Subject "Essential features"
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EDA-DB discretization method to extract essential features for endoscopic gastritis dataset
(Universiti Malaysia Perlis (UniMAP)School of Computer and Communication Engineering, 2015-06)Since most real-world applications of classification learning involve continuous-valued attributes, extracting data pattern from raw data is an important task. The major purpose of this project is to build a discretization ...