Results 11 to 20 of about 461,060 (258)

A flexible feature selection approach for predicting students’ academic performance in online courses

open access: yesComputers and Education: Artificial Intelligence, 2022
Educators' loss of ability to read students' comprehension level during the class through quick questions or nonverbal communication is one of the main challenges of online and blended learning. Many researchers recently tackled this problem by proposing
Ali Al-Zawqari   +2 more
doaj   +1 more source

A conceptual basis for feature engineering

open access: yesJournal of Systems and Software, 1999
Abstract The gulf between the user and the developer perspectives lead to difficulties in producing successful software systems. Users are focused on the problem domain, where the system's features are the primary concern. Developers are focused on the solution domain, where the system's life-cycle artifacts are key.
C. R. TURNER   +3 more
openaire   +3 more sources

A Novel Approach for Stock Price Prediction Using Gradient Boosting Machine with Feature Engineering (GBM-wFE)

open access: yesKurdistan Journal of Applied Research, 2020
The prediction of stock prices has become an exciting area for researchers as well as academicians due to its economic impact and potential business profits.
Rebwar M. Nabi   +2 more
doaj   +1 more source

Deep Fusion Model Combining Explicit and Implicit Feature Interactions [PDF]

open access: yesJisuanji gongcheng, 2020
Feature engineering has significant effects on performance of machine learning algorithms,but its cost continues to grow with scaling Internet data.In order to reduce the dependence on feature engineering,this paper proposes a fusion model combining ...
NI Zhiwen, MA Xiaohu, SUN Xiao, BIAN Lina
doaj   +1 more source

Hybrid Feature-Learning-Based PSO-PCA Feature Engineering Approach for Blood Cancer Classification

open access: yesDiagnostics, 2023
Acute lymphoblastic leukemia (ALL) is a lethal blood cancer that is characterized by an abnormal increased number of immature lymphocytes in the blood or bone marrow. For effective treatment of ALL, early assessment of the disease is essential.
Ghada Atteia   +2 more
doaj   +1 more source

Taxonomy-aware feature engineering for microbiome classification

open access: yesBMC Bioinformatics, 2018
Background What is a healthy microbiome? The pursuit of this and many related questions, especially in light of the recently recognized microbial component in a wide range of diseases has sparked a surge in metagenomic studies.
Mai Oudah, Andreas Henschel
doaj   +1 more source

Malware Detection Based on API Sequence Feature Engineering and Feature Learning [PDF]

open access: yesJisuanji kexue
API sequence-based malware analysis methods can effectively capture the behavioral characteristics of programs during runtime.However,existing detection approaches typically focus solely on API names while neglecting parameters and return values,or fail ...
YANG Yizhe, LU Tianliang, PENG Shufan, LI Xiaolin
doaj   +1 more source

Investigation of Feature Engineering Methods for Domain-Knowledge-Assisted Bearing Fault Diagnosis

open access: yesEntropy, 2023
The engineering challenge of rolling bearing condition monitoring has led to a large number of method developments over the past few years. Most commonly, vibration measurement data are used for fault diagnosis using machine learning algorithms.
Christoph Bienefeld   +3 more
doaj   +1 more source

Applications of radiomics-based analysis pipeline for predicting epidermal growth factor receptor mutation status

open access: yesBioMedical Engineering OnLine, 2023
Background This study aimed to develop a pipeline for selecting the best feature engineering-based radiomic path to predict epidermal growth factor receptor (EGFR) mutant lung adenocarcinoma in 18F-fluorodeoxyglucose (FDG) positron emission tomography ...
Zefeng Liu   +5 more
doaj   +1 more source

Ontology Driven Feature Engineering for Opinion Mining

open access: yesIEEE Access, 2019
In the process of knowledge discovery, the reliability of results depends upon the effectiveness of attributes selected for decision. The curse of dimensionality refers to the phenomenon in which the excessive number of dimensions affect the analysis. In
Shafaq Siddiqui   +3 more
doaj   +1 more source

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