Analysis of dimensionality reduction techniques on Internet of Things data using machine learning

L Rashid, S Rubab, M Alhaisoni, A Alqahtani… - Sustainable Energy …, 2022 - Elsevier
Abstract Internet of Things (IoT), being a global infrastructure, aims to improve the quality of
our lives. The potential applicability of IoT to almost every field of life, gives rise to an …

Dimensionality reduction techniques for IoT based data

D Tomar, P Tomar - Recent Advances in Computer Science …, 2021 - ingentaconnect.com
Background: Internet of Things (IoT) plays a vital role by connecting several heterogeneous
devices seamlessly via the Internet through new services. Every second, the scale of IoT …

Dimension reduction for big data analytics in internet of things

W Ejaz, A Anpalagan, W Ejaz, A Anpalagan - Internet of Things for Smart …, 2019 - Springer
The number of Internet of Things (IoT) devices continues to grow with the invention of
sophisticated applications in smart cities. It is forecasted that there will be 50 billion IoT …

Opinion on different classification algorithms used in internet of things environment for large data set

A Bansal, PK Shukla, MK Ahirwar - International Journal of …, 2019 - igi-global.com
Nowadays, IoT is an emerging technique and has evolved in many areas such as
healthcare, smart homes, agriculture, smart city, education, industries, automation, etc. Many …

Machine learning powered IoT for smart applications

ZJ Hamad, S Askar - International Journal of Science and Business, 2021 - ideas.repec.org
With the coming of fast advancements, with the assistance of IoT, a great percentage of
heterogeneous devices can be connected with each other. The technology with the …

Evaluating data mining classification methods performance in internet of things applications

MA Sulaiman - Journal of Soft Computing and Data Mining, 2020 - penerbit.uthm.edu.my
The world is passing through the stage of the superiority of science and technology. The
impact of this superiority in human life cannot be hidden. There is no doubt that the societies …

Data dimensionality reduction techniques for Industry 4.0: Research results, challenges, and future research directions

P Chhikara, N Jain, R Tekchandani… - Software: Practice and …, 2022 - Wiley Online Library
From the last few years, we have witnessed the fourth generation industrial revolution
(Industry 4.0), impact of which will be seen in the years to come in various disciplines such …

The role of machine learning techniques in internet of things-based cloud applications

S Mishra, AK Tyagi - Artificial intelligence-based internet of things systems, 2022 - Springer
Abstract Today's Machine Learning (ML) in a blend with Internet of Things (IoT)-based cloud
applications plays a significant role in our everyday life. As indicated by Gartner's recent …

An empirical comparison of supervised machine learning algorithms for internet of things data

V Khadse, PN Mahalle… - 2018 fourth international …, 2018 - ieeexplore.ieee.org
Internet of Things (IoT) is one of the rapidly growing fields andn has a wide range of
applications such as smart cities, smart homes, connected wearable, connected health-care …

[HTML][HTML] Major existing classification matrices and future directions for internet of things

KM Basher, JI Nieto-Hipolito, MDLAC Leon… - Advances in Internet of …, 2017 - scirp.org
Classification method is a formula, logical description generalizing characteristics of objects
of related area. Nowadays, billions of smart objects are immersed in the environment …