[PDF][PDF] Analysis of WEKA data mining algorithms Bayes net, random forest, MLP and SMO for heart disease prediction system: A case study in Iraq

RRK Al-Taie, BJ Saleh, AYF Saedi… - … Journal of Electrical …, 2021 - pdfs.semanticscholar.org
Data mining is defined as a search through large amounts of data for valuable information.
The association rules, grouping, clustering, prediction, sequence modeling is some …

IoT analytics and agile optimization for solving dynamic team orienteering problems with mandatory visits

Y Li, M Peyman, J Panadero, AA Juan, F Xhafa - Mathematics, 2022 - mdpi.com
Transport activities and citizen mobility have a deep impact on enlarged smart cities. By
analyzing Big Data streams generated through Internet of Things (IoT) devices, this paper …

Incremental learning framework for mining big data stream

A Eisa, N EL-Rashidy, MD Alshehri… - Computers …, 2022 - opus.lib.uts.edu.au
At this current time, data stream classification plays a key role in big data analytics due to its
enormous growth. Most of the existing classification methods used ensemble learning …

Upgraded Very Fast Decision Tree: Energy Conservative Algorithm for Data Stream Classification

M Lefa, H Abd-Elkader, R Salem - International Journal of …, 2023 - search.proquest.com
Traditional machine learning (ML) techniques model knowledge using static datasets. With
the increased use of the Internet in today's digital world, a massive amount of data is …

A Consolidated Study On Advanced Classification Techniques Used On Stream Data

D Joshi, M Shukla - 2023 IEEE 11th Region 10 Humanitarian …, 2023 - ieeexplore.ieee.org
With the era of IOT, every device is bound to generate data and every digital footprint is
noted. This advances in the technology gave rise to data generation at large stature and …

Empirical Analysis of Machine Learning Algorithms for Predicting Thyroidism

NH Dholakia, T Kshatriya, V Ladva… - … on Advancements in Smart …, 2023 - Springer
This paper focuses on early-stage prediction of Thyroidism, particularly among young
women, due to sedentary and stressful modern lifestyles. Various machine learning …

Predicting Customer Purchase Intention Using Online Machine Learning Methods

E Trigeni - 2023 - repository.ihu.edu.gr
E-commerce has gained significant popularity and this trend is expected to grow even more.
The users do not always visit an e-commerce with purchase intention but with browsing one …

[引用][C] Upgraded Very Fast Decision Tree for Data Stream Classification

M Lefa, H Abd-Elkader, R Salem