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

