A survey on feature selection techniques based on filtering methods for cyber attack detection
Y Lyu, Y Feng, K Sakurai - Information, 2023 - mdpi.com
Cyber attack detection technology plays a vital role today, since cyber attacks have been
causing great harm and loss to organizations and individuals. Feature selection is a …
causing great harm and loss to organizations and individuals. Feature selection is a …
A comprehensive survey on the process, methods, evaluation, and challenges of feature selection
Feature selection is employed to reduce the feature dimensions and computational
complexity by eliminating irrelevant and redundant features. A vast amount of increasing …
complexity by eliminating irrelevant and redundant features. A vast amount of increasing …
Classification of human cancer diseases by gene expression profiles
A cancers disease in virtually any of its types presents a significant reason behind death
surrounding the world. In cancer analysis, classification of varied tumor types is of the …
surrounding the world. In cancer analysis, classification of varied tumor types is of the …
[PDF][PDF] Feature selection methods: Case of filter and wrapper approaches for maximising classification accuracy.
Feature selection has been widely applied in many areas such as classification of spam
emails, cancer cells, fraudulent claims, credit risk, text categorisation and DNA microarray …
emails, cancer cells, fraudulent claims, credit risk, text categorisation and DNA microarray …
Integrative analysis of DNA methylation and gene expression identified cervical cancer-specific diagnostic biomarkers
Cervical cancer is the leading cause of death among women with cancer worldwide. Here,
we performed an integrative analysis of Illumina HumanMethylation450K and RNA-seq data …
we performed an integrative analysis of Illumina HumanMethylation450K and RNA-seq data …
Comparing the normalization methods for the differential analysis of Illumina high-throughput RNA-Seq data
Background Recently, rapid improvements in technology and decrease in sequencing costs
have made RNA-Seq a widely used technique to quantify gene expression levels. Various …
have made RNA-Seq a widely used technique to quantify gene expression levels. Various …
Penalized logistic regression with the adaptive LASSO for gene selection in high-dimensional cancer classification
ZY Algamal, MH Lee - Expert Systems with Applications, 2015 - Elsevier
An important application of DNA microarray data is cancer classification. Because of the
high-dimensionality problem of microarray data, gene selection approaches are often …
high-dimensionality problem of microarray data, gene selection approaches are often …
A novel hybrid wrapper–filter approach based on genetic algorithm, particle swarm optimization for feature subset selection
The classification is one of the main technique of machine learning science. In many
problems, the data sets have a high dimensionality that the existence of all features is not …
problems, the data sets have a high dimensionality that the existence of all features is not …
Framework for the ensemble of feature selection methods
Feature selection (FS) has attracted the attention of many researchers in the last few years
due to the increasing sizes of datasets, which contain hundreds or thousands of columns …
due to the increasing sizes of datasets, which contain hundreds or thousands of columns …
SGL-SVM: a novel method for tumor classification via support vector machine with sparse group Lasso
At present, with the in-depth study of gene expression data, the significant role of tumor
classification in clinical medicine has become more apparent. In particular, the sparse …
classification in clinical medicine has become more apparent. In particular, the sparse …