Results 11 to 20 of about 3,838 (180)

ADASYN: Adaptive synthetic sampling approach for imbalanced learning [PDF]

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008
This paper presents a novel adaptive synthetic (ADASYN) sampling approach for learning from imbalanced data sets. The essential idea of ADASYN is to use a weighted distribution for different minority class examples according to their level of difficulty in learning, where more synthetic data is generated for minority class examples that are harder to ...
null Haibo He, null Yang Bai, Edwardo A. Garcia, null Shutao Li   +3 more
openaire   +1 more source

Impact of Data Balancing and Feature Selection on Machine Learning-based Network Intrusion Detection

JOIV: International Journal on Informatics Visualization, 2023
Unbalanced datasets are a common problem in supervised machine learning. It leads to a deeper understanding of the majority of classes in machine learning.
Azhari Shouni Barkah, Siti Rahayu Selamat, Zaheera Zainal Abidin, Rizki Wahyudi   +3 more
doaj   +1 more source

Adaptive Synthetic-Nominal (ADASYN-N) and Adaptive Synthetic-KNN (ADASYN-KNN) for Multiclass Imbalance Learning on Laboratory Test Data

2018 4th International Conference on Science and Technology (ICST), 2018
Annually about 1,500 cases of cervical cancer are found in Indonesia, which made Indonesia as the country with the highest number of cervical cancer cases in the world. Cervical cancer screening and HPV testing are done with a Pap smear test. However, this examination requires a lot of time, costly and highly susceptible bias of the observer during the
Yulia Ery Kurniawati, Adhistya Erna Permanasari, Silmi Fauziati   +2 more
openaire   +3 more sources

Mortality Prediction from Hospital-Acquired Infections in Trauma Patients Using an Unbalanced Dataset [PDF]

Healthcare Informatics Research, 2020
Objectives Machine learning has been widely used to predict diseases, and it is used to derive impressive knowledge in the healthcare domain. Our objective was to predict in-hospital mortality from hospital-acquired infections in trauma patients on an ...
Mehrdad Karajizadeh, Mahdi Nasiri, Mahnaz Yadollahi, Amir Hussain Zolfaghari, Ali Pakdam   +4 more
doaj   +1 more source

Seleksi Fitur dan Penanganan Imbalanced Data menggunakan RFECV dan ADASYN

Jurnal Eksplora Informatika, 2022
Proses data mining bekerja terhadap data yang tersedia. Jika dataset tidak tersedia sepenuhnya, hasil pengolahan data mining menjadi tidak optimal. Terdapat beberapa kondisi data yang perlu penanganan terlebih dahulu sebelum memasuki tahap data mining. Salah satunya ialah imbalanced class yang merupakan kondisi di mana distribusi data pada setiap kelas
Putri Taqwa Presetyaningrum, Albert Yakobus Chandra, Irfan Pratama   +2 more
openaire   +2 more sources

Seismic landslide susceptibility assessment based on ADASYN-LDA model

IOP Conference Series: Earth and Environmental Science, 2020
AbstractSeismic landslide susceptibility (SLS) assessment can be used to estimate the susceptibility of landslides induced by an earthquake, which has great significance for emergency measure making and land use planning to mitigate the landslide hazard and risk.
Shuhao Zhang, Peiqiao Yu
openaire   +1 more source

Machine Learning Based on Resampling Approaches and Deep Reinforcement Learning for Credit Card Fraud Detection Systems

Applied Sciences, 2021
The problem of imbalanced datasets is a significant concern when creating reliable credit card fraud (CCF) detection systems. In this work, we study and evaluate recent advances in machine learning (ML) algorithms and deep reinforcement learning (DRL ...
Tran Khanh Dang, Thanh Cong Tran, Luc Minh Tuan, Mai Viet Tiep   +3 more
doaj   +1 more source

Detection of Lying Electrical Vehicles in Charging Coordination Application Using Deep Learning

, 2020
The simultaneous charging of many electric vehicles (EVs) stresses the distribution system and may cause grid instability in severe cases. The best way to avoid this problem is by charging coordination.
Alasmary, Waleed, Aljohani, Abdulah J., Amsaad, Fathi, Fouda, Mostafa M., Mahmoud, Mohamed, Shafee, Ahmed   +5 more
core   +1 more source

KOMPARASI METODE SMOTE DAN ADASYN UNTUK PENANGANAN DATA TIDAK SEIMBANG MULTICLASS

Jurnal Informatika Polinema, 2023
Data Mining is an activity that combines various branches of science into one, consisting of database systems, statistics, machine learning, and visualization, to analyze a large dataset in order to obtain useful data characteristics. To address the problem of imbalanced datasets, the distribution of non-uniform classes among classes is balanced by ...
Fandi Yulian Pamuji, Sephia Dwi Arma Putri   +1 more
openaire   +1 more source

The Effect of the ADASYN Method on Widespread Metrics of Machine Learning Efficiency

Современные информационные технологии и IT-образование, 2019
The article presents the results of experimental work comparing the performance metrics of machine learning algorithms on imbalanced text corpora using the method of synthetic data generation ADASYN and without it.
Mukhit A. Baimakhanbetov, Kaidar S. Nurumov, Ulzhan A. Ospanova, Timur K. Buldybayev, Inessa G. Akoyeva   +4 more
doaj   +1 more source