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 …
technique for solving a wide variety of optimization problems due to its impressive …
Feature selection methods for linked data: Limitations, capabilities and potentials
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 …
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 …
business intelligence and information system integration for decision support. Risks and …
Features of human-centred algorithm design
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 …
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 …
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 …
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 …
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.
Asset management requires a more sophisticated approach for sustainable data-driven
decision-making. Organisations operate in dynamic, interconnected and uncertain …
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 …
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
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 …
data streams are of two types stationary data streams, which are static, and non-stationary …