Browsing Applied Mathematics and Computational Intelligence (AMCI) by Subject "Feature selection"

Now showing items 1-2 of 2

    • Fraud detection by machine learning techniques 

      Esraa Faisal, Malik; Xin, Ying Chew (Institute of Engineering Mathematics, Universiti Malaysia Perlis, 2022-12)
      Over the years, the negative impact of financial fraud on organizations and countries have been increasing significantly. Conventional methods such as expert’s judgment are usually used to detect financial fraud. However, ...

    • Polycystic Ovarian Syndrome (PCOS) classification and feature selection by machine learning techniques 

      Satish, C. R Nandipati; Chew, XinYing; Khaw, Khai Wah (Institute of Engineering Mathematics, Universiti Malaysia Perlis, 2020-12)
      One of the most common endocrine system disorders which affect about 5 to 10 % of the adolescent women is Polycystic Ovarian Syndrome (PCOS). The symptoms include failure to ovulate and infertility, cardiovascular diseases, ...