One of the major problems in Big Data is a large number of features or dimensions, which
causes the issue of “the curse of dimensionality” when applying machine learning …

Cervical cancer is one of the vital and most frequent cancers, but can be cured effectively if
diagnosed in the early stage. This is a novel effort towards effective characterization of cervix …

Over the past few decades, there has been a surge of interest of using swarm intelligence
(SI) in computer-aided optimization. SI algorithms have demonstrated their efficacy in …

Optimal feature subset selection is an important and a difficult task for pattern classification,
data mining, and machine intelligence applications. The objective of the feature subset …

The Artificial Neural Networks Training (ANNT) process is an optimization problem of the
weight set which has inspired researchers for a long time. By optimizing the training of the …

Artificial Bee Colony (ABC) algorithm is one of the swarm intelligence algorithms; it has been
introduced by Karaboga in 2005. It is a meta-heuristic optimization search algorithm inspired …

The ability of proteomics in detecting particular disease in the early stages intrigues
researchers, especially analytical researchers, computer scientists and mathematicians …

A new bio-inspired, lizard algorithm (LA) is proposed for optimisation of soft computing used
in data mining. Here, an effort has been made to mimic the anole lizard behaviour to …

Biomarker discovery through mass spectrometry analysis has continuously intrigued
researchers from various fields such as analytical researchers, computer scientists and …

Veri madenciliği ve makine öğrenmesi alanında özellik seçimi boyut indirgemek amacıyla
yapılmaktadır. Bu sayede makine öğrenmesi yöntemleri ile işlenen veriler üzerinde hem …