Artificial Intelligence (AI) is the domain of computer science that focuses on the development
of machines that operate like humans. In the field of AI, medical disease detection is an …

Text Classification problem has been thoroughly studied in information retrieval problems
and data mining tasks. It is beneficial in multiple tasks including medical diagnose health …

Association rule mining (ARM) is one of the core techniques of data mining to discover
potentially valuable association relationships from mixed datasets. In the current research …

Ribonucleic acid Sequencing (RNA-Seq) analysis is particularly useful for obtaining insights
into differentially expressed genes. However, it is challenging because of its high …

A vast amount of data is generated every second for microblogs, content sharing via social
media sites, and social networking. Twitter is an essential popular microblog where people …

Facts can be exchanged in multiple fields with the help of disease-specific ontologies. A
range of diverse values can be produced by mining ontological approaches for …

We propose a two-stage surrogate-assisted evolutionary approach to address the
computational issues arising from using Genetic Algorithm (GA) for feature selection in a …

Abstract Accurate prediction of Public Transport (PT) mobility is important for intelligent
transportation. Nowadays, mobility data have become increasingly available with the …

Bat algorithm (BA) is an eminent meta-heuristic algorithm that has been widely used to solve
diverse kinds of optimization problems. BA leverages the echolocation feature of bats …

Optimisation-based methods are enormously used in the field of data classification. Particle
Swarm Optimization (PSO) is a metaheuristic algorithm based on swarm intelligence, widely …