Results 81 to 90 of about 3,838 (180)

HEART DISEASE PREDICTION USING MACHINE LEARNING CLASSIFIERS WITH VARIOUS BALANCING TECHNIQUES [PDF]

Proceedings on Engineering Sciences
Heart disease or Cardiovascular illness is the most prevalent cause of mortality globally. The challenge of predicting heart illness using clinical data analytics is considerable.
Uzama Sadar , Parul Agarwal , Suraiya Parveen , Geetika Dhand, Kavita Sheoran   +4 more
doaj   +1 more source

PAD-SA: a method for predicting the turnover of scientific researchers based on ADASYN-Stacking algorithm

Discover Applied Sciences
Scientific researchers constitute the core strength of innovation within an organization, and their turnover can significantly affect the enterprise. This includes the risk of trade secret disclosure, setbacks in research and development, and stalled ...
Tianyi Zhang, Jing Yang, Ru Liu, Qiyuan Feng   +3 more
doaj   +1 more source

Impact of data balancing a multiclass dataset before the creation of association rules to study bacterial vaginosis

Intelligent Medicine
Background: Bacterial vaginosis is a polymicrobial syndrome in which the homeostasis exerted by the Latobacillus species that protect the vaginal mucosa has been lost.
Freddy de la Cruz-Ruiz, Juana Canul-Reich, Rafael Rivera-López, Erick de la Cruz-Hernández   +3 more
doaj   +1 more source

Transfer Learning for Thermal Comfort Prediction in Multiple Cities

, 2020
HVAC (Heating, Ventilation and Air Conditioning) system is an important part of a building, which constitutes up to 40% of building energy usage. The main purpose of HVAC, maintaining appropriate thermal comfort, is crucial for the best utilisation of ...
David, Klaus, Gao, Nan, Rahaman, Mohammad Saiedur, Salim, Flora D., Shao, Wei, Zhai, Jun   +5 more
core  

Improvement of Bank Fraud Detection Through Synthetic Data Generation with Gaussian Noise

Technologies
Bank fraud detection faces critical challenges in imbalanced datasets, where fraudulent transactions are rare, severely impairing model generalization. This study proposes a Gaussian noise-based augmentation method to address class imbalance, contrasting
Fray L. Becerra-Suarez, Halyn Alvarez-Vasquez, Manuel G. Forero   +2 more
doaj   +1 more source

Improving Vehicle Payment Method Classification Using XGBoost with SMOTE and SHAP Interpretation

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Class imbalance in vehicle payment method classification can cause predictive models to become biased toward the majority. This study aims to build a classification model for automotive consumer payment methods using Extreme Gradient Boosting (XGBoost ...
Dedi Trisnawarman, Reza Mahendra
doaj   +1 more source

Analisis Perbandingan Teknik Balancing CTGAN dan ADASYN untuk Deteksi Transaksi Penipuan

Journal of Informatics and Interactive Technology
Ketidakseimbangan data menjadi tantangan utama dalam deteksi transaksi penipuan karena jumlah transaksi legal jauh lebih dominan. Penelitian ini membandingkan efektivitas metode ADASYN dan CTGAN dalam menyeimbangkan data dan meningkatkan performa model klasifikasi.
null Firman Zamzami Aziz, null Muhammad Agus Priyanto, null Afridho Nur Zaki, null Gilang Dely Mukti, null Akhmad Fauzan, null Adelia Najmi Raissa, null Adelia Najmi Raissa   +6 more
openaire   +1 more source

Banking customer churn prediction using random forest based on Smote and Adasyn approach

Tạp chí Phát triển và Hội nhập
Customer Churn is now becoming a significant problem in the banking sector. It is necessary to seek solutions to predict the rate of customer churn in banks; however, the dataset for customer churn prediction in banks is imbalanced.
Cong Thanh Tran
doaj   +1 more source

ADASYN Oversampling and SGB Ensemble Algorithm for Migraine Classification

Iraqi Journal of Science
A migraine is a neurological disorder that causes severe headaches. Although it is not life-threatening, it greatly affects people's lives. Migraine classification is considered a complicated research area. Early detection and accurate classification help in determining the appropriate care, speeding recovery from the disease, and avoiding its effects.
openaire   +1 more source

Predicting coronary artery disease with ensemble-based feature selection and grid search-tuned SVM under class imbalance conditions

Discover Data
Coronary artery disease (CAD) is a common heart condition that leads to numerous deaths. The standard diagnostic tool for CAD, coronary angiography, is expensive, time-consuming, and carries harmful side effects.
Atiyeh Pahlevani, Amirhosein Kashefi, Emrah Arslan, Bulbula Kumeda Kussia, Javad Hassannataj Joloudari   +4 more
doaj   +1 more source