Improvements of bat algorithm for optimal feature selection: A systematic literature review

WZ Al-Dyani, FK Ahmad… - Intelligent Data …, 2022 - content.iospress.com
Bat Algorithm (BA) has been extensively applied as an optimal Feature Selection (FS)
technique for solving a wide variety of optimization problems due to its impressive …

Feature selection methods for linked data: Limitations, capabilities and potentials

M Cherrington, D Airehrour, J Lu, Q Xu… - Proceedings of the 6th …, 2019 - dl.acm.org
Feature selection is an important pre-processing, data mining, and knowledge discovery tool
for data analysis. By eliminating redundant and irrelevant features from high-dimensional …

Remuneration review: Risk, planning, and modelling beyond the Covid crisis

M Cherrington, D Airehrour, S Madanian… - 2021 IEEE 12th …, 2021 - ieeexplore.ieee.org
Organisations that have survived Covid-19 jolts, uncertainties and lockdowns now require
business intelligence and information system integration for decision support. Risks and …

Features of human-centred algorithm design

M Cherrington, D Airehrour, J Lu, Q Xu… - 2020 30th …, 2020 - ieeexplore.ieee.org
Algorithms are pervasive, unseen influencers of decisions. Algorithmic features can fluctuate
widely, depending on use, user or criteria applied. This paper considers the nascent field of …

Network traffic based botnet detection using machine learning

AR Vishwakarma - 2020 - scholarworks.sjsu.edu
The field of information and computer security is rapidly developing in today's world as the
number of security risks is continuously being explored every day. The moment a new …

Feature selection using binary particle swarm optimization algorithm to predict repurchase intention from customer reviews

D Adrianto, D Suryadi - International Journal of Systematic Innovation, 2023 - ijosi.org
Indonesia has the largest digital economy in Southeast Asia and has a promising market for
e-commerce companies to compete and dominate the online market share. This also gave …

[PDF][PDF] Cracking the Covid-19 Code: Cutting-edge Collaboration

M Cherrington, I Dunn, D Airehrour - Contemporary Research Topics, 2021 - thescopes.org
The pandemic created by Coronavirus (SARS-CoV-2) sent shockwaves worldwide, first for
humanity and then for the economy. By mid-April, 2020, it was possible to pause and reflect …

Deep learning for sustainable asset management decision-making.

M Cherrington, J Lu, Q Xu… - … Journal of COMADEM, 2021 - search.ebscohost.com
Asset management requires a more sophisticated approach for sustainable data-driven
decision-making. Organisations operate in dynamic, interconnected and uncertain …

Adaptive noise canceller design based on chaotic simulated annealing particle swarm optimization algorithm

J Zhang, PC Wen, Y Shen - 2021 15th International Symposium …, 2021 - ieeexplore.ieee.org
The traditional filter design based on Least Mean Square (LMS) algorithm which depends
on step heavily, good performance cannot be achieved in some models. To solve this …

An Adaptive Streaming Feature Selection Technique for Classifying Non-Stationary Data Streams

M Arya, BK Dewangan, T Choudhury… - 2023 7th …, 2023 - ieeexplore.ieee.org
In today's digital era, various real-world applications generate data in streams, and these
data streams are of two types stationary data streams, which are static, and non-stationary …