1 publication

• Published Subscription 23 Jun 2020

  Review of Feature Selection Methods and Semi Supervised Feature Selection Algorithms for Classification

  By A. Meena Kowshalya, M. Lincy, R. Suvarna

  Abstract: Current evolution in technology has resulted in tremendous growth of data with respect to dimensionality and sample size. Knowledge discovery from these high dimensional data are becoming cumbersome. Though powerful machine learning algorithms are prevalent, noisy data, imperfect sensing and collection of data leads to poor and defective knowledge discovery. Noise and redundant features cannot be circumvented due to which data collection process is biased. Dimensionality reduction techniques namely feature …

  Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 39–51 Read article →