Background Understanding the impact of gene interactions on disease phenotypes is
increasingly recognised as a crucial aspect of genetic disease research. This trend is …

Breast cancer is one of the leading causes of death among women worldwide. Many
methods have been proposed for automatic breast cancer diagnosis. One popular technique …

Software defect prediction based on supervised learning plays a crucial role in guiding
software testing for resource allocation. In particular, it is worth noticing that using …

Associative classification (AC) has been shown to outperform other methods of single-label
classification for over 20 years. In order to create rules that are both more precise and …

Detecting packer programs is a key step in the defense against malicious programs and
plays a key role in cyber security defenses. One challenge with packer classification is that …

One of the acute neuro developmental disorders throughout the world today is the Autism
Spectrum disorder (ASD). It is lifelong disorder which affects the behaviour and …

Periodic-frequent pattern mining is a challenging problem of great importance in many
applications. Most previous works focused on finding these patterns in binary temporal …

BACKGROUND: Autistic Spectrum Disorder (ASD) is a neurodevelopment condition that is
normally linked with substantial healthcare costs. Typical ASD screening techniques are …

Autism is a development condition linked with healthcare costs, therefore, early screening of
autism symptoms can cut down on these costs. The autism screening process involves …

Multi label classification is concerned with learning from a set of instances that are
associated with a set of labels, that is, an instance could be associated with multiple labels …