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Toplam kayıt 12, listelenen: 1-10
Credit Risk Analysis based on Hybrid Classification: Case Studies on German and Turkish Credit Datasets
(IEEE, 2018)
— Kredi risk analizi, karar verme süreçleri açısından
finans sektöründe önemli bir rol oynamaktadır. Bankalar ve
finansal kuruluşlar, müşterilerinden büyük ölçeklerde ham veri
toplamaktadırlar. Veri madenciliği teknikleri, ...
TextNetTopics Pro, a topic model-based text classification for short text by integration of semantic and document-topic distribution information
(FRONTIERS MEDIA SA, 2023)
With the exponential growth in the daily publication of scientific articles, automatic
classification and categorization can assist in assigning articles to a predefined
category. Article titles are concise descriptions ...
GeNetOntology: identifying affected gene ontology terms via grouping, scoring, and modeling of gene expression data utilizing biological knowledge-based machine learning
(FRONTIERS MEDIA SA, 2023)
Introduction: Identifying significant sets of genes that are up/downregulated under specific conditions is vital to understand disease development mechanisms at the molecular level. Along this line, in order to analyze ...
miRModuleNet: Detecting miRNA-mRNA Regulatory Modules
(RONTIERS MEDIA SAAVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE CH-1015, SWITZERLAND, 2022)
Increasing evidence that microRNAs (miRNAs) play a key role in carcinogenesis has revealed the need for elucidating the mechanisms of miRNA regulation and the roles of miRNAs in gene-regulatory networks. A better understanding ...
microBiomeGSM: the identification of taxonomic biomarkers from metagenomic data using grouping, scoring and modeling (G-S-M) approach
(FRONTIERS MEDIA SA, 2023)
Numerous biological environments have been characterized with the advent of metagenomic sequencing using next generation sequencing which lays out the relative abundance values of microbial taxa. Modeling the human microbiome ...
Application of Biological Domain Knowledge Based Feature Selection on Gene Expression Data
(MDPIST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND, 2021)
In the last two decades, there have been massive advancements in high throughput technologies, which resulted in the exponential growth of public repositories of gene expression datasets for various phenotypes. It is ...
The Identification of Discriminative Single Nucleotide Polymorphism Sets for the Classification of Behcet's Disease
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)
Behcet's disease is a long-term multisystem inflammatory disorder, characterized by recurrent attacks affecting several organs. As the genotyping individuals get cheaper and easier following the developments in genomic ...
Handling incomplete data classification using imputed feature selected bagging (IFBag) method
(IOS PRESSNIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS, 2021)
Almost all real-world datasets contain missing values. Classification of data with missing values can adversely affect the performance of a classifier if not handled correctly. A common approach used for classification ...
Discovering Potential Taxonomic Biomarkers of Type 2 Diabetes From Human Gut Microbiota via Different Feature Selection Methods
(FRONTIERS MEDIA SAAVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE CH-1015, SWITZERLAND, 2021)
Human gut microbiota is a complex community of organisms including trillions of bacteria. While these microorganisms are considered as essential regulators of our immune system, some of them can cause several diseases. In ...
Machine Learning Analysis of Inflammatory Bowel Disease-Associated Metagenomics Dataset
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)
There is an ongoing interplay between humans and our microbial communities. The microorganisms living in our gut produce energy from our food, strengthen our immune system, break down foreign products, and release metabolites ...