Results 41 to 50 of about 524,719 (351)

Effective Feature Engineering and Classification of Breast Cancer Diagnosis: A Comparative Study

BioMedInformatics, 2023
Breast cancer is among the most common cancers found in women, causing cancer-related deaths and making it a severe public health issue. Early prediction of breast cancer can increase the chances of survival and promote early medical treatment. Moreover,
Emilija Strelcenia, S. Prakoonwit
semanticscholar   +1 more source

Ontology Driven Feature Engineering for Opinion Mining

IEEE 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, M. Abdul Rehman, Sher Muhammad Doudpota, Ahmad Waqas   +3 more
doaj   +1 more source

Learning Feature Engineering for Classification [PDF]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Feature engineering is the task of improving predictive modelling performance on a dataset by transforming its feature space. Existing approaches to automate this process rely on either transformed feature space exploration through evaluation-guided search, or explicit expansion of datasets with all transformed features followed by feature selection ...
Fatemeh Nargesian, Horst Samulowitz, Udayan Khurana, Elias B. Khalil, Deepak S. Turaga   +4 more
openaire   +1 more source

Employing feature engineering strategies to improve the performance of machine learning algorithms on echocardiogram dataset

Digital Health, 2023
Objectives This study mainly uses machine learning (ML) to make predictions by inputting features during training and inference. The method of feature selection is an important factor affecting the accuracy of ML models, and the process includes data ...
Huang-Nan Huang, Hong-Ming Chen, Wei-Wen Lin, Chau-Jian Huang, Yung-Cheng Chen, Yu-Huei Wang, Chao-Tung Yang   +6 more
semanticscholar   +1 more source

Fake news detection: deep semantic representation with enhanced feature engineering

International Journal of Data Science and Analysis, 2023
Due to the widespread use of social media, people are exposed to fake news and misinformation. Spreading fake news has adverse effects on both the general public and governments.
Mohammadreza Samadi, S. Momtazi
semanticscholar   +1 more source

Flavor changes of Yunnan large-leaf cultivar white tea during different aging periods

Food Chemistry: X
Yunnan large-leaf white tea gains popularity for its unique flavor attributable to the local tea varieties and environments. But how aging crucially enhances its quality and flavor remains unclear. Here, flavor change and safety quality of “Qinghuan” (QH)
Caibi Zhou, Yongshi Chen, Mengling Chen, Mei Xu, Dongwei Zhao, Long Huang, Wenpin Chen   +6 more
doaj   +1 more source

Advancements in securing federated learning with IDS: a comprehensive review of neural networks and feature engineering techniques for malicious client detection

Artificial Intelligence Review
Federated Learning (FL) is a technique that can learn a global machine-learning model at a central server by aggregating locally trained models. This distributed machine-learning approach preserves the privacy of local models.
Naila Latif, Wenping Ma, Hafiz Bilal Ahmad   +2 more
semanticscholar   +1 more source

LEMDA: A Novel Feature Engineering Method for Intrusion Detection in IoT Systems [PDF]

IEEE Internet of Things Journal
Intrusion detection systems (IDSs) for the Internet of Things (IoT) systems can use AI-based models to ensure secure communications. IoT systems tend to have many connected devices producing massive amounts of data with high dimensionality, which ...
Ali Ghubaish, Zebo Yang, A. Erbad, Rajkumar Jain   +3 more
semanticscholar   +1 more source

Data Preprocessing and Feature Engineering for Data Mining: Techniques, Tools, and Best Practices

Applied Informatics
Data preprocessing and feature engineering play key roles in data mining initiatives, as they have a significant impact on the accuracy, reproducibility, and interpretability of analytical results.
Paraskevas Koukaras, Christos Tjortjis
semanticscholar   +1 more source

Penerapan Feature Engineering dan Hyperparameter Tuning untuk Meningkatkan Akurasi Model Random Forest pada Klasifikasi Risiko Kredit

Jurnal Teknologi Informasi dan Ilmu Komputer
  Risiko kredit adalah hal yang penting untuk dianalisis di awal pengajuan kredit guna mengurangi nilai Non-Performing Loan (NPL) atau risiko gagal bayar.
Nadea Putri Nur Fauzi, Siti Khomsah, Aditya Dwi Putra Wicaksono   +2 more
doaj   +3 more sources