[PDF][PDF] Survey on highly imbalanced multi-class data
Machine learning technology has a massive impact on society because it offers solutions to
solve many complicated problems like classification, clustering analysis, and predictions …
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 …
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
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 …
experiences with search engines. Web spam methods target the search engine's internal …
Boosting with crossover for improving imbalanced medical datasets classification
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' …
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 …
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
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 …
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 …
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 …
itself unexpectedly. These clots prevent the normal circulation of blood to the heart and …