[PDF][PDF] Survey on highly imbalanced multi-class data

MHA Hamid, M Yusoff, A Mohamed - International Journal of …, 2022 - researchgate.net
Machine learning technology has a massive impact on society because it offers solutions to
solve many complicated problems like classification, clustering analysis, and predictions …

Merits of Bayesian networks in overcoming small data challenges: A meta-model for handling missing data

H Ameur, H Njah, S Jamoussi - International Journal of Machine Learning …, 2023 - Springer
The abundant availability of data in Big Data era has helped achieving significant advances
in the machine learning field. However, many datasets appear with incompleteness from …

GT2FS-SMOTE: An intelligent oversampling approach based upon general type-2 fuzzy sets to detect web spam

P Kaur, A Gosain - Arabian Journal for Science and Engineering, 2021 - Springer
With the growing internet, web spam is also increasing, which majorly affect the user
experiences with search engines. Web spam methods target the search engine's internal …

Boosting with crossover for improving imbalanced medical datasets classification

AS Desuky, AH Omar, NM Mostafa - Bulletin of Electrical Engineering and …, 2021 - beei.org
Due to the common use of electronic health databases in many healthcare services,
healthcare data are available for researchers in the classification field to make diseases' …

BL_SMOTE ensemble method for prediction of thyroid disease on imbalanced classification problem

R Srivastava, P Kumar - … Communications, and Cyber-Security: IC4S 2020, 2021 - Springer
The imbalanced classification problem is one of the most challenging problems in various
domains such as in machine learning and data mining. In this state of an imbalanced …

Comparison of ensemble models as solutions for imbalanced class classification of datasets

Y Pristyanto, AF Nugraha, RFA Aziza… - 2023 17th …, 2023 - ieeexplore.ieee.org
A phenomenon known as “class imbalance” occurs when an excessive number of classes
are evaluated in relation to other classes. This circumstance is quite common in the …

[PDF][PDF] Dr. Ramesh T. Prajapati

MRN Vaza - 2023 - gtusitecirculars.s3.amazonaws.com
Recently, malware attacks are getting harder to detect by traditional methods because they
vary too much in the binary content. The VM become vulnerable to these security attacks …

Analysis and data processing to predict myocardial infarction complications

J Juanola i Jornet - 2022 - upcommons.upc.edu
The formation of clots in the blood leads to a myocardial infarction and usually manifests
itself unexpectedly. These clots prevent the normal circulation of blood to the heart and …