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Attribute Selection Hybrid Network Model for risk factors analysis of postpartum depression using Social media. [PDF]

open access: yesBrain Inform, 2023
1. A novel hybrid attribute selection model has been proposed for the prediction of Post-Partum Depression. 2. Attribute Hybrid Networks have been tested on a unique dataset that includes both the PDSS questionnaire and social media posts of the ...
Gopalakrishnan A   +6 more
europepmc   +2 more sources

Discriminable Multi-Label Attribute Selection for Pre-Course Student Performance Prediction [PDF]

open access: yesEntropy, 2021
The university curriculum is a systematic and organic study complex with some immediate associated steps; the initial learning of each semester’s course is crucial, and significantly impacts the learning process of subsequent courses and further studies.
Jie Yang   +3 more
doaj   +2 more sources

RF-PCA: A New Solution for Rapid Identification of Breast Cancer Categorical Data Based on Attribute Selection and Feature Extraction. [PDF]

open access: yesFront Genet, 2020
Breast cancer is one of the most common cancer diseases in women. The rapid and accurate diagnosis of breast cancer is of great significance for the treatment of cancer.
Bian K, Zhou M, Hu F, Lai W.
europepmc   +2 more sources

An Amazon stingless bee foraging activity predicted using recurrent artificial neural networks and attribute selection. [PDF]

open access: yesSci Rep, 2020
Bees play a key role in pollination of crops and in diverse ecosystems. There have been multiple reports in recent years illustrating bee population declines worldwide. The search for more accurate forecast models can aid both in the understanding of the
Gomes PAB   +9 more
europepmc   +2 more sources

OPTIMIZATION OF ATTRIBUTE SELECTION MODEL USING BIO-INSPIRED ALGORITHMS

open access: yesJournal of ICT, 2018
Attribute selection which is also known as feature selection is an essential process that is relevant to predictive analysis. To date, various feature selection algorithms have been introduced, nevertheless they all work independently.
Mohammad Aizat Basir   +2 more
doaj   +4 more sources

Attribute Selection via Maximizing Independent-and-Effective Classification Information Ratio [PDF]

open access: yesJisuanji kexue yu tansuo, 2022
Attribute selection in rough set theory has wide practical application values. Most existing attribute selection approaches neglect the relationship among the classification information and redundant information brought by the candidate attribute, and ...
LIU Ye, DAI Jianhua, CHEN Jiaolong
doaj   +1 more source

Improving prediction of students’ performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources [PDF]

open access: yesJournal of Computing in Higher Education, 2021
The aim of this study was to predict university students’ learning performance using different sources of performance and multimodal data from an Intelligent Tutoring System.
Wilson Chango   +4 more
semanticscholar   +1 more source

Machine Learning-Based Energy Consumption Estimation of Wastewater Treatment Plants in Greece

open access: yesEnergies, 2023
Amidst a global discourse on energy resources, it is imperative to provide decision makers with a comprehensive overview of energy consumption (EC) associated with various projects, particularly wastewater treatment plants (WWTPs).
Panagiotis Karadimos   +1 more
doaj   +1 more source

Machine Learning-Based Dynamic Attribute Selection Technique for DDoS Attack Classification in IoT Networks

open access: yesDe Computis, 2023
: The exponential growth of the Internet of Things (IoT) has led to the rapid expansion of interconnected systems, which has also increased the vulnerability of IoT devices to security threats such as distributed denial-of-service (DDoS) attacks. In this
S. Ullah   +4 more
semanticscholar   +1 more source

Attribute Selection Using Contranominal Scales [PDF]

open access: yes, 2021
Formal Concept Analysis (FCA) allows to analyze binary data by deriving concepts and ordering them in lattices. One of the main goals of FCA is to enable humans to comprehend the information that is encapsulated in the data; however, the large size of concept lattices is a limiting factor for the feasibility of understanding the underlying structural ...
Dominik Dürrschnabel   +2 more
openaire   +2 more sources

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