Botnets have recently been identified as serious Internet threats that are continually
developing and expanding. Identifying botnets in the domain of network security is regarded …

Names: Gupta, Brij, 1982-editor.| Sheng, Quan Z. editor. Title: Machine learning for computer
and cyber security: principles, algorithms, and practices/editors Brij B. Gupta, National …

Feature selection remains a popular method for quantity reduction of attributes of high-
dimensional data, to reduce computational costs in classifications. A new feature selection …

Since data mining is intended to extract the required knowledge from very large amounts of
data, the presence of irrelevant or redundant attributes leads to poor predictability and …

Breast Carcinoma is a common cancer among women, with invasive ductal carcinoma and
lobular carcinoma being the two most frequent types. Early detection is critical to prevent …

Feature selection is a pre-processing technique in which a subset or a small number of
features, which are relevant and non-redundant, are selected for better classification …

This paper investigates feature selection methods based on hybrid architecture using
feature selection algorithm called Adapted Fast Correlation Based Feature selection and …

As health care expenditures are growing rapidly worldwide and more specifically in the
United States, health care organizations are being forced to control their costs in order to be …

Abstract Facial Expression Recognition is a vital topic for research in current scenario which
has many applications as machine based HR interviews and human-machine interaction …