In numerous perilous cases, a quick medical decision is needed for the early detection of
chronic diseases to avoid austere consequences that may be fatal. Chronic kidney disease …

Decision trees learning is one of the most practical classification methods in machine
learning, which is used for approximating discrete-valued target functions. However, they …

Naive Bayes (NB) is one of the top 10 data mining algorithms due to its simplicity, efficiency
and efficacy. However, both the unrealistic attribute conditional independence assumption …

With the rapidly increasing popularity of economic activities, a large amount of economic
data is being collected. Although such data offers super opportunities for economic analysis …

Background The use of artificial intelligence has revolutionized every area of life such as
business and trade, social and electronic media, education and learning, manufacturing …

Conventional intelligent fault diagnosis studies require precise labels by default. However,
label noise is inevitable in real industrial environments due to human errors, measurement …

Traditional instance selection algorithms are not good at addressing imbalanced problems.
Moreover, most of them are sensitive to noise instances and suffer from complex selection …

Enhancing distance measures is the key to improve the performance of instance-based
learning (IBL) and many machine learning (ML) algorithms. The value difference metrics …

Electroencephalogram (EEG)-based motor imagery (MI) brain-computer interface (BCI) has
shown its effectiveness for the control of rehabilitation devices designed for large body parts …

Organizations are currently more dependent on Information and Communication
Technology (ICT) resources. The main purpose of this research is to help the organization in …