This paper proposes a new feature selection framework for machine learning-based
phishing detection system, called the Hybrid Ensemble Feature Selection (HEFS). In the first …

In the recent years, sports outcome prediction has gained popularity, as demonstrated by
massive financial transactions in sports betting. One of the world's popular sports that lures …

Learning is the heart of intelligence. The focus in machine learning is to automate methods
that achieve objectives, improve predictions or encourage informed behavior. Feature …

Over the last few years, web phishing attacks have been constantly evolving causing
customers to lose trust in e-commerce and online services. Various tools and systems based …

Identifying the relevant set of features in a dataset is an important part of data analytics.
Discarding significant variables or keeping irrelevant variables has significant effects on the …

The web has turned into a principal part of our conventional social and financial activities.
The web isn't significant for singular clients just yet additionally for associations, since …

Phishing is a common attack used to obtain sensitive information using visually similar
websites to that of legitimate websites. With the growing technology, phishing attacks are on …

Driving daily through traffic congestion has been recognised as a major cause of stress.
High levels of stress while driving negatively impact the driver's decisions which could …

One of the major aspects of any classification process is selecting the relevant set of features
to be used in a classification algorithm. This initial step in data analysis is called the feature …

The overwhelming growth and popularity of web motivated the cyber attackers to develop
fraudulent web sites and execute numerous attacking strategies to trick the user revealing …